Systems and methods using binary dynamic rest messages

ABSTRACT

A system and method of a communication device including a port configured to receive a plurality of binary data streams having a binary header and a binary body. The device includes a memory storing a first message structure description of the binary header and the binary body, and a second message structure description of a metadata construct of the message. The device includes a processor configured to parse a received binary data stream using the first message structure description to determine the binary header and the binary body. The processor parses the binary body using the second message structure description to determine the one or more groups of description values forming the metadata construct. The processor uses a portion of the determined description values of the metadata construct to determine the one or more groups of data values of the message construct.

RELATED APPLICATIONS

The present application claims priority to U.S. application Ser. No. 14/222,100, titled “System and Method of Using Binary Dynamic Rest Messages,” and filed Mar. 21, 2014; U.S. application Ser. No. 14/222,083, titled “System and Method of Using Dynamic Rest Messages with Web sockets,” and filed Mar. 21, 2014; U.S. application Ser. No. 14/222,067, titled “System and Method of Abstracting Communicating Protocol Using Self-Describing Messages,” and filed Mar. 21, 2014; and U.S. application Ser. No. 14/222,027, titled “Chunk-based Communication of Binary Dynamic Rest Messages,” and filed Mar. 21, 2014. The contents of each of these applications are hereby incorporated by reference herein in their entireties.

FIELD OF THE INVENTION

The present invention generally relates to machine-to-machine communications. More particularly, in certain embodiments, the invention relates to using binary dynamic Representational State Transfer (REST) messages to communicate between devices.

BACKGROUND

The Internet of Things (“IOT”) refers to the network of systems, devices, and/or physical objects (collectively referred to as “systems”) existing in the real world, ranging from automobiles to heart monitors. These physical objects and/or devices are equipped and/or embedded with software, sensors, electronics, communication means and the like, that enable them to, among other things, communicate and exchange data. The number of systems that make up the Internet of Things is rapidly growing. Some industry analysts have estimated that the number of connected systems (in an industrial, consumer, government, medical, and business setting) may rise from five billion to one trillion over the next ten years. A substantial portion of that growth will be devices and systems using wireless communication, such as over cellular networks.

Common challenges to the adoption of new connected devices, among others, include operability (e.g., ease of interfacing and operating with legacy devices, including those of a vendor's own platform and various platforms offered by other vendors); efficiency (e.g., the cost of operating the connected devices, including the infrastructure cost); usefulness (e.g., the effectiveness of devices performing for their intended purposes); cost (e.g., cost to install, commission, update, and update the connected device and supporting infrastructure); and scalability. One particular intersection of these challenges is the communication protocol used in the control and management of such devices. The protocol defines, for example, how devices communicate among each other, what they communicate, when they communicate, and who or what they communicate with.

A popular communication protocol is the Hypertext Transfer Protocol-based (HTTP) REpresentational State Transfer (REST) application programming interface (API), also referred to as “HTTP RESTful API.” Two popular open standard formats of HTTP RESTful API include JavaScript Object Notation (“JSON”) and Extensive Markup Language (“XML”) data formatting. REST is a style of software architecture for distributed systems that may employ a standardized interface, such as HTTP. An application conforming to the REST constraints may be described as “RESTful”.

A protocol employing HTTP RESTful API and JSON/XML provides a flexible and open scheme for communication, though has its tradeoffs. For instance, though flexible because of its usage of human-readable text, the protocol is verbose and, thus, inefficient.

The operation of a communication protocol can be affected by the communication channel. For example, although HTTP is not restrictive as a communication protocol, the usage of HTTP is limited to unidirectional communications, in certain instances, due to traffic routing devices and security devices such as firewalls and Network Address Translation commonly employed within a computing and network infrastructure. HTTP polling is a typical technique used to overcome the unidirectional nature of HTTP across such Internet infrastructure, and the like. But using HTTP polling has a tradeoff of high reply-message latency responsiveness, high bandwidth consumption, and high server utilization.

There is a need, therefore, for a flexible, scalable and efficient protocols, such as or based on HTTP RESTful API, for machine-to-machine communications of connected devices. Moreover, there is a need for such protocols to be of low-latency and bidirectional.

SUMMARY

In general overview, the embodiments described herein provide a communication protocol that enables a vast number of computing devices to connect to a computing platform (e.g., for machine-to-machine communication and IoT connected devices) in an efficient, flexible, scalable, and cost-effective manner. The present communication protocol further provides a low-latency, bidirectional connection, using persistent connections (e.g., via a WebSocket connection), to transmit HTTP RESTful messages among devices within an Internet-based computing platform (e.g., for machine-to-machine connectivity and Internet of Things applications).

To promote operability and efficiency, the present protocol employs a compressed and binarized dynamic REST API message that follows a standard format such as JavaScript Object Notation (JSON) and Extensive Markup Language (XML). The present dynamic REST API protocol formats messages in a self-describing and model-based manner that is easy for machines to consume and generate. During transmission, the present protocol compresses a dynamic REST API message to reduce it verbosity by excluding and/or removing notations and known structural elements specific to a model-based schema and self-describing schema employed in the protocol. In addition, the compression replaces certain common elements in the message with binary symbols. It is observed that the compressed dynamic REST API protocol can reduce the size of a dynamic REST API message (e.g., represented in JSON or XML) by over fifty percent and allows the original message to be reconstructed post-transmission. It is also observed that the binarization of the message is synergistic with WebSocket connections, which allows for low-latency, bidirectional connection.

Indeed, the verbose portion of the message (e.g., the model-based schema and self-describing schema) pertains, in part, to the underlying organization and properties of the message components that enable the protocol to transmit and receive complex messages for controls and enable upgrades and integration with legacy systems. Each of the connected devices typically includes this underlying information. In this way, even if the verbose portion of the message is not transmitted, the entire message can be reconstructed after transmission, for example, to be directly consumed and/or parsed by a computing device and/or servers. For certain open standards that use human-readable text, such as JSON and XML, the verbose portion of the message also includes the attribute and/or name portion of each data object (e.g., an attribute in an attribute-pair in JSON and a name in a name/value pair in XML).

To further promote operability and efficiency, the protocol compresses, by expressing as a binary symbol, a request/response construct that is based on a set of common methods of Hypertext Transfer Protocol (HTTP) and for a set of common messages in HTTP (e.g., status codes, error codes, etc.). By virtue of this compression, message size may be reduced while allowing communication among connected devices and legacy systems through standard REST API (e.g., HTTP verbs, such as GET, POST, DELETE, PUT, etc.).

Using the present protocol, a message typically includes a header and payload portion. For messages employing certain request/response constructs (e.g., status codes, error codes, etc.), the protocol can transmit the header alone with such request/response construct therein. This further increases the transmission efficiency. For dynamic REST messages, the protocol transmits both the header and the payload (that contains the dynamic REST message). For other types of messages having certain RESTful style services (e.g., read/write operation of data, execution of remote procedures, event transport, and extended functionality, such as file transfer and application tunneling), the protocol transmits both the header and the payload, where the payload includes a binary message to invoke these external RESTful style services. In some implementations, the header may include i) a common portion that is employed in all messages and ii) a supplemental portion that is employed for certain direction of transmission between the connected devices and the server. To this end, the present protocol further improves the efficiency of message transmission by including the supplemental header only in certain messages based on the message direction of transmission or intended recipient.

To further facilitate scalability, the present protocol facilitates the transmission of messages in chunks (i.e., in divided portions of a message). In this manner, each message is partitioned into multiple smaller messages, thereby reducing the memory requirements of the server when receiving and/or transmitting data with the connected devices. To this end, this feature is particularly beneficial when receiving/transmitting data with large numbers of connected devices, such as in Internet-of-Things applications. Take, for example, a platform server that is intended to receive or transmit 1 MB of data with 100,000 connected device. Such a server would require a memory allocation of about 100 Gigabyte (GB) (i.e., 1 MB of data x 100,000 instances of the data) to buffer all the data, if received or transmitted with the connected devices simultaneously. Chunking beneficially alleviates the memory constraint at this platform server. By partitioning each message into multiple messages, for example, of 8 Kilobyte (KB) chucks, the same platform server can buffer the chuck data from the same 100,000 devices with a buffer of about 800 MB.

The present protocol preferably chunks and reassembles the message at the application level (rather than at the transport level) to provide control of the operation, for example, to allow the message structure to change (e.g., allowing customization of the connectivity for a given application). In some embodiments, such customization is implemented in a transport layer of the protocol.

In one aspect, the present disclosure describes a communication device (e.g., a platform server, an edge server, an endpoint device, etc.). The communication device includes a port, a memory, and a processor, The port is configured to receive one or more data streams (e.g., one or more packets) corresponding to a message represented in a binary format. Each data stream includes a binary header and a binary body. The port may receive the one or more data streams via a WebSocket connection. The binary body includes a metadata construct (e.g., a list of field definitions) and a message construct (e.g., a list of row data), collectively forming a self-describing schema for the message in which the metadata construct describes properties of the message construct.

The memory stores (i) a first message structure description associated with the binary header and the binary body, and (ii) a second message structure description associated with the metadata construct.

The processor is configured to parse a received data stream to produce a received message (e.g., a compressed message represented in a binary and truncated format). The produce the received message, the processor parses the received data stream using the first message structure description to determine the binary header and the binary body of the received message; parses the binary body using the second message structure description to determine one or more groups of description values forming the metadata construct, and uses a portion of the determined description values of the metadata construct to determine one or more groups of data values of the message construct. In some implementations, each group of the one or more groups of description values is associated with a given data value of each group of the one or more groups of data values of the message construct. The metadata construct may precede the message construct in the binary body. Portions of the metadata construct and the message construct corresponding to a set of string characters may be represented, in the received message, as a binary symbol based on a universal standard code native to the communication device (e.g., Unicode-8).

In some implementations, both the message construct and the metadata construct of the received message are represented in a truncated format such that notation objects (e.g., character strings of attributes in a JSON attribute-value pair and/or names in an XML name-value pair) associated with each data value of the message construct and each description value of the metadata construct are not present in the received message. The notation objects may be present in an uncompressed version of the received message. The uncompressed version of the received message may conform to an open standard format selected from the group consisting of JavaScript Object Notation (JSON) and Extensible Markup Language (XML). In some implementations, the binary header includes a field associated with a HTTP REST message. The HTTP REST message may include at least one of a binary symbol representing at least one of a HTTP request method (e.g., GET, PUT, DELETE, POST) and a HTTP status code definition. In some implementations, the data stream includes a supplemental binary header. The supplemental binary header may include one or more fields associated with an identity of a targeted recipient of the received data stream.

In some implementations, each group of the one or more groups of description values forming the metadata construct comprises a binary representation of a type definition for each type of data value of the message construct. The type definition includes a member selected from the group consisting of a string, a number, a Boolean, a datetime object, a timespan object, an Infotable object, a location object, an XML object, a JSON object, a query object, an image, a hyperlink, an imagelink object, a password object, an html object, a text, a tag object, a schedule object, a variant object, a global unique identifier (GUID) object, a binary large object (BLOB), and an integer. In some implementations, each of the one or more groups of description values forming the metadata construct includes a data-value name descriptor, a data-value description-descriptor, and a data value type-descriptor, where the descriptors are defined by a model-based schema.

In some implementations, each group of the one or more groups of data values of the message construct and each group of the one or more groups of description values of the metadata construct comprises one or more binary markers. The one or more binary markers indicate at least one of a beginning and an end of each of the respective one or more groups.

In another aspect, the present disclosure describes a computer-implemented method for communicating a compressed and binarized dynamic REST API message formatted according to a model-based schema and self-describing schema. The method includes storing, at a memory of a computing device, a first message structure description and a second message structure description for a data stream. The first message structure description defines a shape of a binary header and a binary body for a message represented in a binary format. The binary body comprises a metadata construct (e.g., a list of field definitions) and a message construct (e.g., a list of row data), collectively forms a self-describing schema for the message in which the metadata construct describes properties of the message construct. The second message structure description defines a structure for the metadata construct.

The method further includes receiving, at a port of the computing device, one or more data streams corresponding to a compressed and binarized dynamic REST API message formatted according to a model-based schema and self-describing schema. The one or more data streams may be received via a WebSocket connection.

The method further includes parsing, by a processor of the computing device, the received data stream to produce a received message. The parsing of the received data stream includes parsing the received data stream using the first message structure description to determine the binary header and the binary body of the received message; parsing the binary body using the second message structure description to determine one or more groups of description values forming the metadata construct of the received message; and determining one or more groups of data values of the message construct using a portion of the determined description values of the metadata construct. The metadata construct may precede the message construct in the binary body. Portions of the metadata construct and the message construct corresponding to a set of string characters may be represented, in the received message, as a binary symbol based on a universal standard code native to the computing device (e.g., Unicode-8).

In some implementations, each group of the one or more groups of description values is associated with a given data value of each group of the one or more groups of data values of the message construct.

In some implementations, both the message construct and the metadata construct of the received message are represented in a truncated format such that notation objects (e.g., character strings of attributes in a JSON attribute-value pair and/or names in an XML name-value pair) associated with each data value of the message construct and each description value of the metadata construct are not present in the received message in which the notation objects are present in the uncompressed version of the received message. The uncompressed version of the received message may conform to an open standard format selected from the group consisting of JavaScript Object Notation (JSON) and Extensible Markup Language (XML).

In some implementations, the binary header includes a field associated with a HTTP REST message. The HTTP REST message may include a binary symbol representing at least one of a HTTP request method (e.g., GET, PUT, DELETE, POST) and a HTTP status code definition. In some implementations, the data stream includes a supplemental binary header. The supplemental binary header may include one or more fields associated with an identity of a targeted recipient of the received data stream.

In some implementations, each group of the one or more groups of data values of the message construct and each group of the one or more groups of description values of the metadata construct comprises one or more binary markers. The one or more binary markers may indicate at least one of a beginning and an end of each of the respective one or more groups.

In some implementations, each of the one or more groups of description values forming the metadata construct includes a data-value name descriptor, a data-value description-descriptor, and a data value type-descriptor. The descriptors are preferably defined by the model-based schema.

In another aspect, the present disclosure describes a non-transitory computer readable medium having instruction stored thereon. The instructions, when executed by a processor of a computing device, cause the processor to store, at the memory of the computing device, a first message structure description and a second message structure description for a data stream. The first message structure description defines a shape of a binary header and a binary body for message represented in a binary format. The binary body includes a metadata construct (e.g., a list of field definitions) and a message construct (e.g., a list of row data), collectively forming a self-describing schema for the message in which the metadata construct describes properties of the message construct. The second message structure description defines a structure of the metadata construct.

The instructions, when executed by the processor, further cause the processor to receive, at a port of the computing device, one or more data streams corresponding to a compressed and binarized dynamic REST API message formatted according to a model-based schema and self-describing schema. The port may receive the one or more data streams via a WebSocket connection.

The instructions, when executed by the processor, further cause the processor to parse the received data stream to produce a received message. The parsing of the received data stream includes parsing the received data stream using the first message structure description to determine the binary header and the binary body of the received message; parsing the binary body using the second message structure description to determine the one or more groups of description values forming the metadata construct of the received message; and determining the one or more groups of data values of the message construct using a portion of the determined description values of the metadata construct. The metadata construct may precede the message construct in the binary body. Portions of the metadata construct and the message construct corresponding to a set of string characters may be represented, in the received message, as a binary symbol based on a universal standard code native to the communication device (e.g., Unicode-8).

In some implementations, both the message construct and the metadata construct of the received message are represented in a truncated format such that notation objects (e.g., character strings of attributes in a JSON attribute-value pair and/or names in an XML name-value pair) associated with each data value of the message construct and each description value of the metadata construct are not present in the received message. The notation objects may be present in an uncompressed version of the received message. The uncompressed version of the received message may conform to an open standard format selected from the group consisting of JavaScript Object Notation (JSON) and Extensible Markup Language (XML). In some implementations, the binary header includes a field associated with a HTTP REST message. The HTTP REST message may include at least one of a binary symbol representing at least one of a HTTP request method (e.g., GET, PUT, DELETE, POST) and a HTTP status code definition. In some implementations, the data stream includes a supplemental binary header. The supplemental binary header may include one or more fields associated with an identity of a targeted recipient of the received data stream.

In some implementations, each group of the one or more groups of description values forming the metadata construct comprises a binary representation of a type definition for each type of data value of the message construct. The type definition includes a member selected from the group consisting of a string, a number, a Boolean, a datetime object, a timespan object, an Infotable object, a location object, an XML object, a JSON object, a query object, an image, a hyperlink, an imagelink object, a password object, an html object, a text, a tag object, a schedule object, a variant object, a global unique identifier (GUID) object, a binary large object (BLOB), and an integer. In some implementations, each of the one or more groups of description values forming the metadata construct includes a data-value name descriptor, a data-value description-descriptor, and a data value type-descriptor, where the descriptors are defined by a model-based schema.

In some implementations, each group of the one or more groups of data values of the message construct and each group of the one or more groups of description values of the metadata construct comprises one or more binary markers. The one or more binary markers indicate at least one of a beginning and an end of each of the respective one or more groups.

In another aspect, the present describes a communication device that includes a processor, a port configured to transmit data streams via a persistent stateless connection (e.g., a WebSocket connection) to a computing device, and a memory having instructions and a dynamic REST API model stored thereon. The instructions of the memory, when executed by the processor, cause the processor to establish one or more persistent stateless connections, via the port, with a second communication device. The instructions of the memory, when executed by the processor, further cause the processor to produce one or more data streams corresponding to a self-describing request message using the stored dynamic REST API model. The instructions of the memory, when executed by the processor, further cause the processor to cause the data stream to be transmitted by the port to the second communication device.

In some implementations, the persistent stateless connection is a WebSocket connection. The port may be a member selected from the group consisting of a Hypertext Transfer Protocol (HTTP) port, a secure Hypertext Transfer Protocol (HTTPS) port, a WebSocket (WS) port, and a WebSocket secure (WSS) port. The port, in some implementations, has a port value of 80 or 443.

In some implementations, the dynamic REST API model includes a description of a request message formatted according to a model-based schema and self-describing schema. The description of the request message may include a metadata construct (e.g., a list of field definitions) and a message construct (e.g., a list of row data) that collectively forms the self-describing schema for the message in which the metadata construct describes properties of the message construct. The message construct may include one or more groups of data values (e.g., row data) corresponding to data objects of the message, and wherein the metadata construct comprises one or more groups of description values (e.g., field definitions) corresponding to property objects of the message. Each group of the one or more groups of description values may be associated with a given data value of each group of the one or more groups of data values of the message construct. In some implementations, both the message construct and the metadata construct of the message are represented in a truncated format such that notation objects (e.g., attributes in a JSON attribute-value pair and/or names in an XML name-value pair) associated with each data value of the message construct and each description value of the metadata construct are not present in the message in which the notation objects are present in the uncompressed version of the message. In some implementations, the self-describing request message is represented in a format selected from the group consisting of a JavaScript Object Notation (JSON) object and an Extensible Markup Language (XML) object. In some implementations, the self-describing request message is represented in a binary format.

In another aspect, the present disclosure describes a computer-implemented method. The method includes storing, at a memory of a computing device, a dynamic REST API model. The method further includes producing, by a processor of the computing device, one or more data streams corresponding to a self-describing request message using the stored dynamic REST API model. The method further includes establishing, via a port of the computing device, a persistent stateless connection (e.g., a WebSocket connection) with a second computing device. The method further includes transmitting, via the port, the one or more data streams to the second computing device.

In some implementations, the persistent stateless connection is a WebSocket connection. The port may be a member selected from the group consisting of a Hypertext Transfer Protocol (HTTP) port, a secure Hypertext Transfer Protocol (HTTPS) port, a WebSocket (WS) port, and a WebSocket secure (WSS) port. The port, in some implementations, has a port value of 80 or 443.

In some implementations, the dynamic REST API model includes a description of a request message formatted according to a model-based schema and self-describing schema. The description of the request message may include a metadata construct (e.g., a list of field definitions) and a message construct (e.g., a list of row data) that collectively forms the self-describing schema for the message in which the metadata construct describes properties of the message construct. The message construct may include one or more groups of data values (e.g., row data) corresponding to data objects of the message, and wherein the metadata construct comprises one or more groups of description values (e.g., field definitions) corresponding to property objects of the message. Each group of the one or more groups of description values may be associated with a given data value of each group of the one or more groups of data values of the message construct. In some implementations, both the message construct and the metadata construct of the message are represented in a truncated format such that notation objects (e.g., attributes in a JSON attribute-value pair and/or names in an XML name-value pair) associated with each data value of the message construct and each description value of the metadata construct are not present in the message in which the notation objects are present in the uncompressed version of the message. In some implementations, the self-describing request message is represented in a format selected from the group consisting of a JavaScript Object Notation (JSON) object and an Extensible Markup Language (XML) object. In some implementations, the self-describing request message is represented in a binary format.

In another aspect, the present disclosure describes a non-transitory computer readable medium having instructions stored thereon. The instructions, when executed by a processor at a computing device, cause the processor to store, at a memory of the computing device, a dynamic REST API model. The instructions, when executed by the processor, further cause the processor to produce one or more data stream corresponding to a self-describing request message using the dynamic REST API model. The instructions, when executed by the processor, further cause the processor to establish, via a port of the computing device, a persistent stateless connection (e.g., a WebSocket connection) with a second computing device. The instructions, when executed by the processor, further cause the processor to transmit, via the port, the one or more data streams to the second computing device.

In some implementations, the dynamic REST API model includes a description of a request message formatted according to a model-based schema and self-describing schema. The description of the request message may include a metadata construct (e.g., a list of field definitions) and a message construct (e.g., a list of row data) that collectively forms the self-describing schema for the message in which the metadata construct describes properties of the message construct. The message construct may include one or more groups of data values (e.g., row data) corresponding to data objects of the message, and wherein the metadata construct comprises one or more groups of description values (e.g., field definitions) corresponding to property objects of the message. Each group of the one or more groups of description values may be associated with a given data value of each group of the one or more groups of data values of the message construct. In some implementations, both the message construct and the metadata construct of the message are represented in a truncated format such that notation objects (e.g., attributes in a JSON attribute-value pair and/or names in an XML name-value pair) associated with each data value of the message construct and each description value of the metadata construct are not present in the message in which the notation objects are present in the uncompressed version of the message. In some implementations, the self-describing request message is represented in a format selected from the group consisting of a JavaScript Object Notation (JSON) object and an Extensible Markup Language (XML) object. In some implementations, the self-describing request message is represented in a binary format.

In another aspect, the present disclosure describes a computer-implemented method. The method includes providing a first communication protocol and a second communication protocol in a memory of a first computing device (e.g., an intermediate server). The first communication protocol includes (i) a plurality of control codes (e.g., corresponding to one or more HTTP request methods and one or more HTTP status code definitions) and (ii) a plurality of message structures described by a self-describing schema and a model-based schema (e.g., corresponding to a dynamic REST API model). Instances of the second communication protocol are associatively mapped to instances of the first communication protocol in the memory of the device. The associative mapping between the first communication protocol and the second communication protocol may be stored in persistent memory.

The method further includes receiving, at a port of the first computing device, from a second computing device (e.g., a legacy computing device), one or more first data streams corresponding to a message formatted according to the second communication protocol. The one or more first data streams may be received via a wireless connection. In some implementations, the wireless connection includes a network selected from the group consisting of Zigbee, Bluetooth, WiMax, Wi-Fi, GSM, PCS, and D-AMPS, IEC, 6LoWPAN, Ant, DASH7, EnOcean, INSTEON, NeuRF ON, Senceive, WirelessHART, Contiki, TinyOS, GPRS, TCP/IP, CoAP, MQTT, TR-50, OMA LW M2M, and ETSI M2M. The method further includes determining, by a processor of the first computing device, if the received message corresponds to either a control message or a data message.

The method further includes generating, by the processor, one or more second data streams corresponding to a message formatted according to the first communication protocol using the received message formatted according to the second communication protocol. Responsive to the received message being determined to correspond to a control message, the method includes mapping, by the processor, the received message to one or more control codes of the plurality of control codes of the first communication protocol. A portion of the plurality of the control codes may correspond to one or more HTTP request methods and one or more HTTP status code definitions. The one or more HTTP request methods may include a member selected from the group consisting of a GET request, a PUT request, a POST request, and a DELETE request. In some implementations, each of the one or more HTTP request methods is represented as a binary symbol. Responsive to the received message being determined to correspond to a data message, the method includes generating, by the processor, a corresponding dynamic REST request message formatted according to the first communication protocol. The generated message includes a metadata construct (e.g., a list of field definitions) and a message construct (e.g., a list of row data), collectively forming the self-describing schema for the generated message in which the metadata construct describes properties of the message construct.

The method further includes transmitting, via the port, the one or more second data streams to a third computing device (e.g., a platform server). The first computing device may transmit the one or more second data streams to the third computing device over a WebSocket connection.

In some implementations, the method further includes adding, by the processor, a binary header to each of the one or more second data streams, wherein the binary header comprises a targeted recipient of the received data stream.

In another aspect, the present disclosure describes a non-transitory computer readable medium having instructions stored thereon. The instructions includes definitions for a first communication protocol, definitions for a second communication protocol, and an associative mapping therebetween. The associative mapping between the first communication protocol and the second communication protocol may be stored in persistent memory. The first communication protocol includes (i) a plurality of control codes (e.g., corresponding to one or more HTTP request methods and one or more HTTP status code definitions) and (ii) a plurality of message structure described by a self-describing schema and a model-based schema (e.g., corresponding to a dynamic REST API model).

The instructions, when executed by a processor of a computing device (e.g., an intermediate server), cause the processor to receive, at a port of the computing device, from a second computing device (e.g., a legacy computing device), one or more first data streams corresponding to a message formatted according to the second communication protocol. The one or more first data streams may be received via a wireless connection. In some implementations, the wireless connection includes a network selected from the group consisting of Zigbee, Bluetooth, WiMax, Wi-Fi, GSM, PCS, and D-AMPS, IEC, 6LoWPAN, Ant, DASH7, EnOcean, INSTEON, NeuRF ON, Senceive, WirelessHART, Contiki, TinyOS, GPRS, TCP/IP, CoAP, MQTT, TR-50, OMA LW M2M, and ETSI M2M. The instructions, when executed by the processor, further cause the processor to determine if the received message corresponds to either a control message or a data message. In some implementations, a portion of the plurality of the control codes corresponds to one or more HTTP request methods and one or more HTTP status code definitions. The one or more HTTP request methods may include a member selected from the group consisting of a GET request, a PUT request, a POST request, and a DELETE request. Each of the one or more HTTP request methods may be represented as a binary symbol.

The instructions, when executed by the processor, further cause the processor to generate one or more second data streams corresponding to a message formatted according to the first communication protocol. Responsive to the received message being determined to correspond a control message, the processor maps the received message to one or more control codes of the plurality of control codes of the first communication protocol. Responsive to the received message being determined to correspond to a data message, the processor generates a corresponding dynamic REST request message formatted according to the first communication protocol. The generated message includes a metadata construct (e.g., a list of field definitions) and a message construct (e.g., a list of row data), collectively forming the self-describing schema for the generated message in which the metadata construct describes properties of the message construct.

The instructions, when executed by the processor, further cause the processor to transmit, via the port, the one or more second data streams to a third computing device (e.g., a platform server). In some implementations, the computing device transmits the one or more second data streams to the third computing device over a WebSocket connection.

In some implementations, each of the one or more HTTP request methods is represented as a binary symbol.

In some implementations, the instructions, when executed by the processor, further cause the processor to add a binary header to each of the one or more second data streams, wherein the binary header comprises a targeted recipient of the received data stream.

In another aspect the present disclosure describes a system that includes a processor, a port; and a memory having instruction stored thereon. The instructions includes definitions for a first communication protocol, definitions for a second communication protocol, and an associative mapping therebetween. The first communication protocol includes (i) a plurality of control codes (e.g., corresponding to one or more HTTP request methods and one or more HTTP status code definitions) and (ii) a plurality of message structure described by a self-describing schema.

The instructions, when executed by a processor of a computing device (e.g., an intermediate server), cause the processor to receive, at a port of the computing device, from a second computing device (e.g., a legacy computing device), one or more first data streams corresponding to a message formatted according to the second communication protocol. The one or more first data streams may be received via a wireless connection. In some implementations, the wireless connection includes a network selected from the group consisting of Zigbee, Bluetooth, WiMax, Wi-Fi, GSM, PCS, and D-AMPS, IEC, 6LoWPAN, Ant, DASH7, EnOcean, INSTEON, NeuRF ON, Senceive, WirelessHART, Contiki, TinyOS, GPRS, TCP/IP, CoAP, MQTT, TR-50, OMA LW M2M, and ETSI M2M.

The instructions, when executed by the processor, further cause the processor to determine if the received message corresponds to either a control message or a data message. In some implementations, a portion of the plurality of the control codes corresponds to one or more HTTP request methods and one or more HTTP status code definitions. The one or more HTTP request methods may include a member selected from the group consisting of a GET request, a PUT request, a POST request, and a DELETE request. Each of the one or more HTTP request methods may be represented as a binary symbol.

The instructions, when executed by the processor, further cause the processor to generate one or more second data streams corresponding to a message formatted according to the first communication protocol. Responsive to the received message being determined to correspond a control message, the processor maps the received message to one or more control codes of the plurality of control codes of the first communication protocol. Responsive to the received message being determined to correspond to a data message, the processor generates a corresponding dynamic REST request message formatted according to the first communication protocol. The generated message includes a metadata construct (e.g., a list of field definitions) and a message construct (e.g., a list of row data), collectively forming the self-describing schema for the generated message in which the metadata construct describes properties of the message construct.

The instructions, when executed by the processor, further cause the processor to transmit, via the port, the one or more second data streams to a third computing device (e.g., a platform server). In some implementations, the computing device transmits the one or more second data streams to the third computing device over a WebSocket connection.

In some implementations, each of the one or more HTTP request methods is represented as a binary symbol.

In some implementations, the instructions, when executed by the processor, further cause the processor to add a binary header to each of the one or more second data streams, wherein the binary header comprises a targeted recipient of the received data stream.

In another aspect, the present disclosure describes a communication engine having a processor, a communication port configured to receive a plurality of data streams from a plurality of computing devices, and a memory having instructions stored thereon. Each data stream of the plurality of data streams includes a chunk identification number, a chunk size identifier, and a total chunk identifier (e.g., a total number of chunks). The communication port may receive the plurality of data streams via a plurality of persistent stateless connections (e.g., a plurality of WebSocket connections). The instructions, when executed by the processor, cause the processor to parse a first data stream of the plurality of data streams to determine a chunk identification number, a chunk size identifier, and a total chunk identifier associated with a first message associated with a first monitored device. The instructions, when executed by the processor, further cause the processor to allocate a first buffer in the memory, wherein the first buffer is associated with the first message of the first monitored device and has a size defined, in part, by the chunk size identifier and the total chunk identifier parsed from the first data stream. The instructions, when executed by the processor, further cause the processor to, for each received data stream associated with the first message associated with the first monitored device, store in the first buffer a message portion of the received data stream. The instructions, when executed by the processor, further cause the processor to decode the message portions of the first buffer to generate a complete first message of the first monitored device.

In some implementations, the instructions, when executed by the processor, further cause the processor to parse a second data stream of the plurality of data streams to determine a chunk identification number, a chunk size identifier, and a total chunk identifier associated with a second message associated with a first monitored device. In such implementations, the instructions, when executed by the processor, further cause the processor to allocate a second buffer in the memory, where the second buffer is associated with the second message of the first monitored device and has a size defined, in part, by the chunk size identifier and the total chunk identifier parsed from the second data stream. In such implementations, the instructions, when executed by the processor, further cause the processor to, for each received data stream associated with the second message associated with the first monitored device, store in the second buffer a message portion of the received data stream. In such implementations, the instructions, when executed by the processor, further cause the processor to decode the message portions of the second buffer to generate a complete second message of the first monitored device. In some implementations, the instructions, when executed by the processor, further cause the processor to parse a third data stream of the plurality of data streams to determine a chunk identification number, a chunk size identifier, and a total chunk identifier associated with a third message associated with a second monitored device. In such implementations, the instructions, when executed by the processor, further cause the processor to allocate a third buffer in the memory, where the third buffer is associated with the third message of the second monitored device and has a size defined, in part, by the chunk size identifier and the total chunk identifier parsed from the third data stream. In such implementations, the instructions, when executed by the processor, further cause the processor to, for each received data stream associated with the third message associated with the second monitored device, store in the third buffer a message portion of the received data stream. In such implementations, the instructions, when executed by the processor, further cause the processor to decode the message portions of the third buffer to generate a complete third message of the second monitored device.

In some implementations, each message portion of a received data stream is stored within a respective buffer at a location corresponding to the chunk identification number parsed from the received data stream. In other implementations, each message portion of a received data stream is stored within a respective buffer in a sequential manner.

In some implementations, the chunk size identifier corresponds to a size of a message portion of a received data stream.

In some implementations, the instructions, when executed by the processor, further cause the processor to allocate, for each new message, a respective buffer in the memory based on a chunk size identifier and a total chunk identifier parsed from a data stream corresponding to the new message.

In some implementations, the message portions of each respective buffer are decoded upon the buffer being full.

In some implementations, the instructions, when executed by the processor, cause the processor to create a list of stored message portions (e.g., a binary string or an array) for each respective buffer based on a total chunk identifier used in the allocation of the respective buffer; update the list of stored message portion for each message portion stored to the respective buffer based on the chunk identification number associated with the stored message portion; and decode the stored message portions of the respective buffer when the list is complete.

In some implementations, the chunk size identifier is at least 16 bits. In some implementations, the chunk size identifier is at least 32 bits. In some implementations, The total chunk identifier is at least 16 bits. In some implementations, the total chunk identifier is at least 32 bits.

In some implementations, the chunk identification number, the chunk size identifier, and the total chunk identifier, collectively form a header portion of a given data stream. In some implementations, each data stream includes a header message. The header message may include a multipart header field indicating presence of a multipart header portion. This multipart header portion may include the chunk identification number, the chunk size identifier, and the total chunk identifier. In some implementations, the multipart header portion includes a name identifier associated with a computing device having originated data corresponding to a message portion of a received data stream.

In some implementations, the instructions, when executed by the processor, further cause the processor to, upon decoding of the first message with the first buffer, cause transmission of a data stream corresponding to a success message to a computing device having transmitted the data streams associated with the first message associated with the first monitored device.

In another aspect, the present disclosure describes a non-transitory computer readable medium having instructions stored thereon. The instructions, when executed by the processor, cause the processor to receive, at a port of a computing device, a plurality of data streams from a plurality of computing devices, where each data stream of the plurality of data streams comprises a chunk identification number, a chunk size identifier, and a total chunk identifier (e.g., a total number of chunks). The port may receive the plurality of data streams via a plurality of persistent stateless connections (e.g., a plurality of WebSocket connections). The instructions, when executed by the processor, further cause the processor to parse a first data stream of the plurality of data streams to determine a chunk identification number, a chunk size identifier, and a total chunk identifier associated with a first message associated with a first monitored device. The instructions, when executed by the processor, further cause the processor to allocate a first buffer in the memory, wherein the first buffer is associated with the first message of the first monitored device and has a size defined, in part, by the chunk size identifier and the total chunk identifier parsed from the first data stream. The instructions, when executed by the processor, further cause the processor to, for each received data stream associated with the first message associated with the first monitored device, store in the first buffer a message portion of the received data stream. The instructions, when executed by the processor, further cause the processor to decode the message portions of the first buffer to generate a complete first message of the first monitored device.

In some implementations, the instructions, when executed by the processor, further cause the processor to parse a second data stream of the plurality of data streams to determine a chunk identification number, a chunk size identifier, and a total chunk identifier associated with a second message associated with a first monitored device. In such implementations, the instructions, when executed by the processor, further cause the processor to allocate a second buffer in the memory, where the second buffer is associated with the second message of the first monitored device and has a size defined, in part, by the chunk size identifier and the total chunk identifier parsed from the second data stream. In such implementations, the instructions, when executed by the processor, further cause the processor to, for each received data stream associated with the second message associated with the first monitored device, store in the second buffer a message portion of the received data stream. In such implementations, the instructions, when executed by the processor, further cause the processor to decode the message portions of the second buffer to generate a complete second message of the first monitored device.

In some implementations, the instructions, when executed by the processor, further cause the processor to parse a third data stream of the plurality of data streams to determine a chunk identification number, a chunk size identifier, and a total chunk identifier associated with a third message associated with a second monitored device. In such implementations, the instructions, when executed by the processor, further cause the processor to allocate a third buffer in the memory, where the third buffer is associated with the third message of the second monitored device and has a size defined, in part, by the chunk size identifier and the total chunk identifier parsed from the third data stream. In such implementations, the instructions, when executed by the processor, further cause the processor to, for each received data stream associated with the third message associated with the second monitored device, store in the third buffer a message portion of the received data stream. In such implementations, the instructions, when executed by the processor, further cause the processor to decode the message portions of the third buffer to generate a complete third message of the second monitored device.

In some implementations, each message portion of a received data stream is stored within a respective buffer at a location corresponding to the chunk identification number parsed from the received data stream. In other implementations, each message portion of a received data stream is stored within a respective buffer in a sequential manner.

In some implementations, the chunk size identifier corresponds to a size of a message portion of a received data stream. In some implementations, the chunk size identifier is at least 16 bits. In some implementations, the chunk size identifier is at least 32 bits. In some implementations, The total chunk identifier is at least 16 bits. In some implementations, the total chunk identifier is at least 32 bits.

In some implementations, the instructions, when executed by the processor, further cause the processor to allocate, for each new message, a respective buffer in the memory based on a chunk size identifier and a total chunk identifier parsed from a data stream corresponding to the new message.

In some implementations, the message portions of each respective buffer are decoded upon the buffer being full. In other implementations, the instructions, when executed by the processor, cause the processor to create a list of stored message portions (e.g., a binary string or an array) for each respective buffer based on a total chunk identifier used in the allocation of the respective buffer; update the list of stored message portion for each message portion stored to the respective buffer based on the chunk identification number associated with the stored message portion; and decode the stored message portions of the respective buffer when the list is complete.

In some implementations, the chunk identification number, the chunk size identifier, and the total chunk identifier, collectively form a header portion of a given data stream. In some implementations, each data stream includes a header message. The header message may include a multipart header field indicating presence of a multipart header portion. This multipart header portion may include the chunk identification number, the chunk size identifier, and the total chunk identifier. In some implementations, the multipart header portion includes a name identifier associated with a computing device having originated data corresponding to a message portion of a received data stream.

In some implementations, the instructions, when executed by the processor, further cause the processor to, upon decoding of the first message with the first buffer, cause transmission of a data stream corresponding to a success message to a computing device having transmitted the data streams associated with the first message associated with the first monitored device.

In another aspect, the present disclosure describes, a computer-implemented method. The method includes receiving, at a port of a computing device, a plurality of data streams from a plurality of computing devices, where each data stream of the plurality of data streams comprises a chunk identification number, a chunk size identifier, and a total chunk identifier (e.g., a total number of chunks). The plurality of data streams may be received via a plurality of persistent stateless connections (e.g., a plurality of WebSocket connections). The method further includes parsing, by a processor of the computing device, a first data stream of the plurality of data streams to determine a chunk identification number, a chunk size identifier, and a total chunk identifier associated with a first message associated with a first monitored device. The method further includes allocating, by the processor, in a memory of the computing device, a first buffer, where the first buffer is associated with the first message of the first monitored device and has a size defined, in part, by the chunk size identifier and the total chunk identifier parsed from the first data stream. The method further includes, for each received data stream associated with the first message associated with the first monitored device, storing, by the processor, a message portion of the received data stream in the first buffer. The method further includes, decoding the message portions of the first buffer to generate a complete first message of the first monitored device.

In some implementations, the method further includes parsing, by the processor, a second data stream of the plurality of data streams to determine a chunk identification number, a chunk size identifier, and a total chunk identifier associated with a second message associated with a first monitored device. In such implementations, the method further includes allocating, by the processor, a second buffer in the memory, where the second buffer is associated with the second message of the first monitored device and has a size defined, in part, by the chunk size identifier and the total chunk identifier parsed from the second data stream. In such implementations, the method further includes, for each received data stream associated with the second message associated with the first monitored device, storing, by the processor, in the second buffer, a message portion of the received data stream. In such implementations, the method further includes decoding, by the processor, the message portions of the second buffer to generate a complete second message of the first monitored device.

In some implementations, the method further includes parsing, by the processor, a third data stream of the plurality of data streams to determine a chunk identification number, a chunk size identifier, and a total chunk identifier associated with a third message associated with a second monitored device. In such implementations, the method further includes allocating, by the processor, a third buffer in the memory, where the third buffer is associated with the third message of the second monitored device and has a size defined, in part, by the chunk size identifier and the total chunk identifier parsed from the third data stream. In such implementations, the method further includes, for each received data stream associated with the third message associated with the second monitored device, storing, by the processor, in the third buffer, a message portion of the received data stream. In such implementations, the method further includes decoding, by the processor, the message portions of the third buffer to generate a complete third message of the second monitored device.

In some implementations, each message portion of a received data stream is stored within a respective buffer at a location corresponding to the chunk identification number parsed from the received data stream. In other implementations, each message portion of a received data stream is stored within a respective buffer in a sequential manner.

In some implementations, the chunk size identifier corresponds to a size of a message portion of a received data stream. In some implementations, the chunk size identifier is at least 16 bits. In some implementations, the chunk size identifier is at least 32 bits.

In some implementations, the method further includes allocating, by the processor, for each new message, a respective buffer in the memory based on a chunk size identifier and a total chunk identifier parsed from a data stream corresponding to the new message. In some implementations, the total chunk identifier is at least 16 bits. In some implementations, the total chunk identifier is at least 32 bits.

In some implementations, the message portions of each respective buffer are decoded upon the buffer being full. In other implementations, the method further includes creating, by the processor, a list of stored message portions (e.g., a binary string or an array) for each respective buffer based on a total chunk identifier used in the allocation of the respective buffer; updating, by the processor, the list of stored message portion for each message portion stored to the respective buffer based on the chunk identification number associated with the stored message portion; and decoding, by the processor, the stored message portions of the respective buffer when the list is complete.

In some implementations, the chunk identification number, the chunk size identifier, and the total chunk identifier, collectively form a header portion of a given data stream. Each data stream may include a header message, the header message comprising a multipart header field indicating presence of a multipart header portion, where the multipart header portion comprises the chunk identification number, the chunk size identifier, and the total chunk identifier. The multipart header portion may include a name identifier associated with a computing device having originated data corresponding to a message portion of a received data stream.

In some implementations, the method further includes, upon decoding of the first message with the first buffer, causing, by the processor, transmission of a data stream corresponding to a success message to a computing device having transmitted the data streams associated with the first message associated with the first monitored device.

In some implementations, the present disclosure describes a communication device including a port configured to receive binary data streams representing messages. Each of the data stream includes a binary header and a binary body. The binary body includes a metadata construct and a message construct. The message construct includes one or more groups of data values, and the metadata construct includes one or more groups of description values corresponding to a given data value of the one or more data values forming the message construct. The communication device includes a memory that stores a first structural description of a binary header (e.g., binary HTTP API request/response) and a binary body (e.g., dynamic REST API message), and a second structural description of the metadata construct (e.g., the model/information model with the description of the underlying organization and properties of the metadata construct). The communication device includes a processor to parse the received binary data stream to produce a received message. The processor parses the received binary data stream using the first structural description to determine the binary header and the binary body. The processor parses the binary body using the second structural description to determine the one or more groups of description values forming the metadata construct. The processor uses a portion of the determined description values of the metadata construct to determine the one or more groups of data values of the message construct.

In some implementations, each of the one or more data values of the message construct and each of the one or more description value of the metadata construct are delineated by a binary marker. The binary marker may be a single byte long. The binary marker may include (i) a first value to define the beginning of a data value set or a description value set and (ii) a second value to define the end of each of the metadata construct and the message construct. The entire message construct may be delimited only with the binary marker. In some implementations, each of the one or more groups of description values may form the metadata construct having a data-value name descriptor, a data-value description-descriptor, and a data value type-descriptor. The groups of description values, collectively, may form a definition for each data-value in the message construct. The metadata construct may precede the message construct in forming the binary body. In some implementations, a portion of the metadata construct and a portion of the message construct correspond to a set of characters defined by a universal standard code. In some implementations, the binary header is unencrypted, and the binary body is encrypted.

In some implementations, the present disclosure describes a method of using binary Dynamic REST message. The method includes storing, at a memory, (i) a first structural description of the binary header and the binary body and (ii) a second structural description of the metadata construct. The metadata construct comprises one or more groups of description values corresponding to a given data value of the one or more data values forming the message construct. The method includes receiving, at a port, a plurality of binary data streams representing a plurality of messages. The method also includes parsing, using a processor, each of the received binary data streams using the first structural description to determine the binary header and the binary body. The method also includes parsing, using the processor, the parsed binary body using the second structural description to determine the one or more groups of description values forming the metadata construct. The processor uses a portion of the determined description values of the metadata construct to determine the one or more groups of data values of the message construct.

The binary data streams may be received via Web sockets. Each of the one or more data values of the message construct and each of the one or more description values of the metadata construct may be delineated by a binary marker. In some embodiments, the binary header is unencrypted and the binary body is encrypted. The metadata construct may include a data-value name descriptor, a data-value description-descriptor, and a data value type-descriptor. The metadata construct may precede the message construct in forming the binary body. A portion of the metadata construct and a portion of the message construct may correspond to a set of characters defined by a universal standard code.

In some implementations, the present disclosure describes a non-transitory computer readable medium having instructions stored thereon, where the instructions, when executed by a processor, cause the processor to store, at a memory, a first structural description of the binary header and the binary body and a second structural description of the metadata construct. The metadata construct comprises one or more groups of description values corresponding to a given data value of the one or more data values forming the message construct. The instructions, when executed, further cause the processor to receive, at a port, a plurality of binary data streams representing a plurality of messages. The instructions, when executed, further cause the processor to parse each of the received binary data streams using the first structural description, to determine the binary header and the binary body. The instructions, when executed, further cause the processor to parse the parsed binary body using the second structural description to determine the one or more groups of description values forming the metadata construct. The processor uses a portion of the determined description values of the metadata construct to determine the one or more groups of data values of the message construct.

In some implementations, each of the one or more data values of the message construct and each of the one or more description value of the metadata construct are delineated by a binary marker. In some implementations, the binary data streams are received via Web sockets. In some implementations, the binary header is unencrypted, and the binary body is encrypted. The metadata construct may include a data-value name descriptor, a data-value description-descriptor, and a data value type-descriptor. The metadata construct may precede the message construct in forming the binary body. A portion of the metadata construct and a portion of the message construct may correspond to a set of characters defined by a universal standard code.

In some implementations, the present disclosure describes a communication device having a memory for storing a structural description of a message defined by a self-describing schema. The structural description describes a structure interspersed by both one or more label elements and one or more punctuation elements among the data objects to describe a given message. The memory further stores a codebook having a set of binary symbols corresponding to the binary representations. The communication device includes a processor configured to generate a binary data stream to transmit to another computer device via a communication port.

The processor may generate the binary data stream from a received message defined by the self-describing schema in which the received message may include one or more data objects delimited by one or more both label elements and one or more punctuation elements. The processor may parse the received message for one or more data objects according to the stored structural description. The processor may serially map each of the elements of the parsed data objects to a binary symbol defined in the codebook, to produce a binary data stream where. When serially mapping each of the elements of the parsed data objects, the processor does not map the one or more label elements and one or more punctuation elements interspersed among the data objects in to the binary data stream.

In another aspect, the present disclosure describes a communication device including a port configured to transmit and receive a data stream via a persistent stateless connection. The persistent stateless connection may be over a WebSocket connection. The communication device also includes a memory storing a dynamic REST API model. The communication device also includes a processor configured to connect to a second communication device over the persistent stateless connection. The processor formats a request message with the stored dynamic REST API model to produce a self-describing request message. The processor causes the self-describing request message to be transmitted over the port.

The dynamic REST API model may include a data model that includes a data object, an event object, a service object, a property object, and an attribute object. The port may be a HTTP or HTTPS port having a value of 80 or 443. The self-describing request message may be presented in at least one of a JavaScript Object Notation (JSON) object and an Extensible Markup Language (XML) object. The self-describing request message may be formatted in a binary format. The self-describing request message may be encrypted.

In some implementations, the present disclosure describes a method of using dynamic REST messages with Web sockets. The method includes storing, at a memory of a device, a binary dynamic REST API model. The method also includes formatting, via a processor at the device, a request message using the binary dynamic REST API model to produce a self-describing request message. The method also includes transmitting, via a port of the device, the request message over a persistent state connection (e.g., a WebSocket connection).

The dynamic REST API model may include a data model that includes a data object, an event object, a service object, a property object, and an attribute object. The port may be a HTTP or HTTPS port having a value of 80 or 443. The self-describing request message may be presented in at least one of a JavaScript Object Notation (JSON) object and an Extensible Markup Language (XML) object. The self-describing request message may be formatted in a binary format. The self-describing request message may be encrypted.

In some implementations, the present disclosure describes a non-transitory computer readable medium having instructions and a binary dynamic REST API model stored thereon. The instructions, when executed, further cause the processor to format a request message using the binary dynamic REST API model to produce a self-describing request message. The instructions, when executed, further cause the processor to transmit, via a port of the device, the request message over a persistent state connection. The dynamic REST API model may include a data model that includes a data object, an event object, a service object, a property object, and an attribute object. The processor causes the self-describing request message to be transmitted over the port.

The port may be an HTTP or HTTPS port having a value of 80 or 443. The self-describing request message may be presented in at least one of a JavaScript Object Notation (JSON) object and an Extensible Markup Language (XML) object. The self-describing request message may be formatted in a binary format. The self-describing request message may be encrypted.

In another aspect, the present disclosure describes a method of abstracting a communication protocol using self-describing message. The method includes providing a first communication protocol and a second communication protocol in a memory of a device where the first communication protocol includes a number of control codes and binary messages having a self-describing schema. The self-describing schema is associated with a data object model where instances of the second communication protocol are associatively mapped to the instances of the first communication protocol (e.g., in the persistent memory of the device). The method also includes receiving, at a port of a computing device, a first instantiation of a message (e.g., over a wireless connection) in the second communication protocol. The method also includes classifying, by a processor of the computing device, the first instantiation of the message as being either a control message or a data message. The method also includes translating, by the processor of the computing device, the first instantiation of the message to produce a second instantiation of the message where, upon the message having been classified as a control message, the processor maps the control message to one or more control codes of the plurality of control codes and where, upon the message having been classified as a data message, the processor maps the data message to a corresponding binary message having the self-describing schema. The method also includes transmitting, at the port of the computing device, the second instantiation of the message (e.g., over a WebSocket connection).

In some implementations, the associative mapping of the control codes is based on a HTML framework. In some implementations, the associate mapping of the data message is based on a service request selected from the group consisting of a GET request, a PUT request, a POST request, and a DELETE request. The wireless connection may include a network selected from the group consisting of Zigbee, Bluetooth, WiMax, Wi-Fi, GSM, PCS, and D-AMPS, IEC, 6LoWPAN, Ant, DASH7, EnOcean, INSTEON, NeuRF ON, Senceive, WirelessHART, Contiki, TinyOS, GPRS, TCP/IP, CoAP, MQTT, TR-50, OMA LW M2M, and ETSI M2M. The data object model may be structured in a dynamic REST API object model.

In another aspect, the present disclosure describes a system including a processor and a memory, the memory storing a first communication protocol and a second communication protocol, where the first communication protocol includes a number of control codes and binary messages having a self-describing schema. The self-describing schema is associated with a data object model where instances of the second communication protocol are associatively mapped to the instances of the first communication protocol. The associative mapping between the first communication protocol and the second communication protocol may be stored in persistent memory. The memory includes instructions, where the instructions, when executed by the processor, further cause the processor to receive, at a port of a computing device, a first instantiation of a message (e.g., over a wireless connection) in the second communication protocol. The instructions, when executed by the processor, further cause the processor to classify the first instantiation of the message as being either a control message or a data message. The instructions, when executed by the processor, further cause the processor to translate the first instantiation of the message to produce a second instantiation of the message. Upon the message having been classified as a control message, the processor maps the control message to one or more control codes of the plurality of control codes, and upon the message having been classified as a data message, the processor maps the data message to a corresponding binary message having the self-describing schema. The method includes transmitting, at the port of the computing device, the second instantiation of the message.

The first communication device may transmit the second instantiation of the message to the platform server over a WebSocket connection. In some implementations, the wireless connection includes a network selected from the group consisting of Zigbee, Bluetooth, WiMax, Wi-Fi, GSM, PCS, and D-AMPS, IEC, 6LoWPAN, Ant, DASH7, EnOcean, INSTEON, NeuRF ON, Senceive, WirelessHART, Contiki, TinyOS, GPRS, TCP/IP, CoAP, MQTT, TR-50, OMA LW M2M, and ETSI M2M. The data object model may be structured in a dynamic REST API object model. In some implementations, the associative mapping of the control codes is based on a HTML framework. In some implementations, the associate mapping of the data message is based on a service request selected from the group consisting of a GET request, a PUT request, a POST request, and a DELETE request.

In another aspect, the present disclosure describes a non-transitory computer readable medium having instructions for a first communication protocol and a second communication protocol. The first communication protocol includes a number of control codes and binary messages having a self-describing schema. The self-describing schema is associated with a data object model where instances of the second communication protocol are associatively mapped to the instances of the first communication protocol. The memory further includes instructions, where the instructions, when executed by a processor of a computing device, cause the processor to receive, at a port of the computing device, a first instantiation of a message in the second communication protocol (e.g., over via a wireless connection). The instructions, when executed by the processor, further cause the processor to classify the first instantiation of the message as being either a control message or a data message. The instructions, when executed by the processor, further cause the processor to map the first instantiation of the message to a second instantiation of the message). Upon the message having been classified as a control message, the processor maps the control message to one or more control codes of the plurality of control codes, and ii), and upon the message having been classified as a data message, the processor maps the data message to a corresponding binary message having the self-describing schema. The instructions, when executed by the processor, further cause the processor to transmit, at the port of the computing device, the second instantiation of the message.

The first communication device may transmit the second instantiation of the message to the platform server over a WebSocket connection. The associative mapping between the first communication protocol and the second communication protocol may be subsequently stored in persistent memory. In some implementations, the wireless connection includes a network selected from the group consisting of Zigbee, Bluetooth, WiMax, Wi-Fi, GSM, PCS, and D-AMPS, IEC, 6LoWPAN, Ant, DASH7, EnOcean, INSTEON, NeuRF ON, Senceive, WirelessHART, Contiki, TinyOS, GPRS, TCP/IP, CoAP, MQTT, TR-50, OMA LW M2M, and ETSI M2M. The data object model may be structured in a dynamic REST API object model. In some implementations, the associative mapping of the control codes may be based on a HTML framework. In some implementations, the associate mapping of the data message is based on a service request selected from the group consisting of a GET request, a PUT request, a POST request, and a DELETE request.

In some implementations, the present disclosure describes a communication engine for performing chunk-based communication of binary Dynamic REST messages. The communication engine includes a communication port configured to receive one or more data streams, including a first data stream and a second data stream, wherein the data stream comprises a binary dynamic REST messages. The data stream includes one or more data fields where each of the data fields include a field value and a length identifier of the field value, the length identifier preceding a corresponding field value in each of the data fields. The communication engine also includes a first buffer to store a received first data stream and a received second data stream. The communication engine also includes a second buffer to store portions of a decoded message. The communication engine also includes a processor to decode the received data stream buffered within the first buffer to produce a given decoded portion. The processor stores the given decoded portion in the second buffer. The processor initiates decoding of the received first data stream buffered within the first buffer prior to a complete receipt of the received second data stream.

The communication port may receive the one or more input data streams over a WebSocket connection. The message may include a data object having an event object, a service object, a property object, and an attribute object. Each of the one or more input data streams may include an identifier of a number of one or more data streams that form a given complete message (e.g., an executable message). Each of the one or more data streams may include a message number identifier that indicate a location of a given decoded data stream within the complete message. Each of the one or more data streams may form a portion of a complete message. In some implementations, the communication engine includes a decryption engine to decode an encrypted portion of the input data streams.

In some implementations, the present disclosure describes a method of using chunk-based communication of binary Dynamic REST message. The method includes receiving, at a port of a computing device, one or more data streams, including a first data stream and a second data stream. Each data stream may include one or more data fields where each of the data fields includes a field value and a length identifier of the field value. The length identifier precedes a corresponding field value in each of the data fields. The method also includes storing, at a first buffer, a received first data stream and a received second data stream. The method also includes storing, at a second buffer, portions of a decoded message. The method also includes decoding, using a processor, the received data stream buffered within the first buffer to produce a given decoded portion, where the processor initiates decoding of the received first data stream buffered within the first buffer prior to a complete receipt of the received second data stream.

The communication port may receive the one or more input data streams over a WebSocket connection. The message may include a data object having an event object, a service object, a property object, and an attribute object. Each of the one or more input data streams may include an identifier of a number of the one or more data streams that form a given complete message (e.g., an executable message). Each of the one or more data streams may include a message number identifier that indicates a location of a given decoded message portion with respect other decoded message portions within the complete message. Each of the one or more data streams may form a portion of a complete message.

In some implementations, the present disclosure describes a non-transitory computer readable medium having instructions stored thereon, where the instructions, when executed by a processor, cause the processor to receive, at a port of a computing device, one or more data streams, including a first data stream and a second data stream having portions of one or more binary dynamic REST messages. The instructions, when executed by the processor, further cause the processor to store, at a first buffer of the computing device, a received first data stream and a received second data stream. The instructions, when executed, further cause the processor to store, at a second buffer of the computing device, portions of a decoded message. The processor decodes the received data stream buffered within the first buffer to produce a given decoded portion, and where the processor initiates decoding of the received first data stream buffered within the first buffer prior to a complete receipt of the received second data stream.

The data stream may include one or more data fields where each of the data fields include a field value and a length identifier of the field value. The length identifier precedes a corresponding field value in each of the data fields. The communication port may receive the one or more input data stream over a WebSocket connection. The message may include a data object having an event object, a service object, a property object, and an attribute object. Each of the one or more input data streams may include an identifier of a number of one or more data streams that form a given complete message (e.g., an executable message). Each of the one or more data streams may include a message number identifier that indicates a location of a given decoded message portion with respect to other decoded message portions within the complete message. Each of the one or more data streams may form a portion of a complete message.

In some implementations, the present disclosure describes a communication device including a port configured to receive binary data streams representing messages. Each of the data stream may include a binary header and a binary body. The binary body may have a metadata construct and a message construct in which the message construct includes one or more groups of data values. The metadata construct may include one or more groups of description values corresponding to a given data value of the one or more data values forming the message construct. In some implementations, the communication device includes a memory that stores a first structural description of binary header and a binary body. The memory may also store a second structural description of the metadata construct. The binary header may be unencrypted where the binary body is encrypted. In some implementations, the communication device may include a processor. The processor may parse a received binary data stream to reproduce a received message. The processor may parse the received binary data stream using the first structural description to determine the binary header and the binary body. The processor may parse the binary body using the second structural description to determine the one or more groups of description values forming the metadata construct. The processor may use a portion of the determined description values of the metadata construct to determine the one or more groups of data values of the message construct. In some implementations, each of the one or more data values of the message construct and each of the one or more description value of the metadata construct may be delineated by a binary marker. The binary marker may be a single byte long. The binary marker may include a first value to define each beginning of a data value set or a description value set and a second value to define an end of each of the metadata construct and the message construct. The entire message construct may be delimited only with the binary marker. In some implementations, each of the one or more groups of description values may form the metadata construct having a data-value name descriptor, a data-value description-descriptor, and a data value type-descriptor. The groups of description value, collectively, may form a definition for each of the data-value in the message construct. The metadata construct may precede the message construct in forming the binary body. In some implementations, a portion of the metadata construct and a portion of the message construct correspond to a set of characters defined by a universal standard code. In some implementations, the binary header is unencrypted, and the binary body is encrypted.

In some implementations, the present disclosure describes a method of using binary Dynamic REST message. The method may include storing, at a memory, a first structural description of the binary header and the binary body and a second structural description of the metadata construct where the metadata construct comprises one or more groups of description values corresponding to a given data value of the one or more data values forming the message construct. Each of the one or more data values of the message construct and each of the one or more description value of the metadata construct may be delineated by a binary marker. In some implementations, the method may include receiving, at a port, a plurality of binary data streams representing a plurality of messages. The binary data streams may be received via Web sockets. In some implementations, the method may include parsing, using a processor, each of the received binary data streams using the first structural description to determine the binary header and the binary body. The binary header is unencrypted, and the binary body is encrypted. In some implementations, the method may include parsing, using the processor, the parsed binary body using the second structural description to determine the one or more groups of description values forming the metadata construct where the processor uses a portion of the determined description values of the metadata construct to determine the one or more groups of data values of the message construct. The metadata construct may include a data-value name descriptor, a data-value description-descriptor, and a data value type-descriptor. The metadata construct may precede the message construct in forming the binary body. A portion of the metadata construct and a portion of the message construct may correspond to a set of characters defined by a universal standard code.

In some implementations, the present disclosure describes a non-transitory computer readable medium having instructions stored thereon, where the instructions, when executed by a processor, cause the processor to store, at a memory, a first structural description of the binary header and the binary body and a second structural description of the metadata construct where the metadata construct comprises one or more groups of description values corresponding to a given data value of the one or more data values forming the message construct. Each of the one or more data values of the message construct and each of the one or more description value of the metadata construct may be delineated by a binary marker. In some implementations, the instructions, when executed, further cause the processor to receive, at a port, a plurality of binary data streams representing a plurality of messages. The binary data streams may be received via Web sockets. In some implementations, the instructions, when executed, further cause the processor to parse, using a processor, each of the received binary data streams using the first structural description to determine the binary header and the binary body. The binary header may be unencrypted, and the binary body is encrypted. In some implementations, the instructions, when executed, further cause the processor to parse, using the processor, the parsed binary body using the second structural description to determine the one or more groups of description values forming the metadata construct where the processor uses a portion of the determined description values of the metadata construct to determine the one or more groups of data values of the message construct. The metadata construct may include a data-value name descriptor, a data-value description-descriptor, and a data value type-descriptor. The metadata construct may precede the message construct in forming the binary body. A portion of the metadata construct and a portion of the message construct may correspond to a set of characters defined by a universal standard code.

In some implementations, the present disclosure describes a communication device having a memory for storing a structural description of a message defined by a self-describing schema, where the structural description describes a structure interspersed by both one or more label elements and one or more punctuation elements among the data objects to describe a given message. The memory further stores a codebook having a set of binary symbols corresponding to the binary representations. The communication device may include a processor configured to generate a binary data stream to transmit to another computer device via a communication port. The processor may generate the binary data stream from a received message defined by the self-describing schema in which the received message may include one or more data objects delimited by one or more both label elements and one or more punctuation elements. The processor may parse the received message for one or more data objects according to the stored structural description. The processor may serially map each of the elements of a parsed data objects to a binary symbol defined in the codebook to produce a binary data stream where, when serially mapping each of the elements of the parsed data objects, the processor does not map the one or more label elements and one or more punctuation elements interspersed among the data objects in to the binary data stream.

In some implementations, the present disclosure describes a communication device including a port configured to transmit and receive a data stream via a persistent stateless connection. the persistent stateless connection may be over a web-socket connection.he communication device may include a memory storing a dynamic REST API model. The communication device may include a processor configured to connect to a second communication device over the persistent stateless connection. The processor may format a request message with the stored dynamic REST API model to produce a self-describing request message. The dynamic REST API model may include a data model that includes a data object, an event object, a service object, a property object, and an attribute object. The processor may cause the self-describing request message to be transmitted over the port. The port may be a HTTP or HTTPS port having a value of 80 or 443. The self-describing request message may be presented in at least one of a JavaScript Object Notation (JSON) object and an Extensible Markup Language (XML) object. The self-describing request message may be formatted in a binary format. The self-describing request message may be encrypted.

In some implementations, the present disclosure describes a method of using dynamic REST messages with Web sockets. The method may include storing, at a memory of a device, a binary dynamic REST API model. The method may include formatting, via a processor at the device, a request message using the binary dynamic REST API model to produce a self-describing request message. The method may include transmitting, via a port of the device, the request message over a persistent state connection. The dynamic REST API model may include a data model that includes a data object, an event object, a service object, a property object, and an attribute object. The processor causes the self-describing request message to be transmitted over the port. The port may be a HTTP or HTTPS port having a value of 80 or 443. The self-describing request message may be presented in at least one of a JavaScript Object Notation (JSON) object and an Extensible Markup Language (XML) object. The self-describing request message may be formatted in a binary format. The self-describing request message may be encrypted.

In some implementations, the present disclosure describes a non-transitory computer readable medium having instructions stored thereon, where the instructions, when executed by a processor, cause the processor to store, at a memory of a device, a binary dynamic REST API model. The instructions, when executed, further cause the processor to format, via a processor at the device, a request message using the binary dynamic REST API model to produce a self-describing request message. The instructions, when executed, further cause the processor to transmit, via a port of the device, the request message over a persistent state connection. The dynamic REST API model may include a data model that includes a data object, an event object, a service object, a property object, and an attribute object. The processor causes the self-describing request message to be transmitted over the port. The port may be a HTTP or HTTPS port having a value of 80 or 443. The self-describing request message may be presented in at least one of a JavaScript Object Notation (JSON) object and an Extensible Markup Language (XML) object. The self-describing request message may be formatted in a binary format. The self-describing request message may be encrypted.

In some implementations, the present disclosure describes a method of abstracting a communication protocol using self-describing message. The method may include providing a first communication protocol and a second communication protocol in a memory of a device where the first communication protocol includes a number of control codes and binary messages having a self-describing schema. The self-describing schema may be of a data object model wherein instances of the second communication protocol are associatively mapped to the instances of the first communication protocol. The associative mapping between the first communication protocol and the second communication protocol may be stored in persistent memory. In some implementations, the associative mapping of the control codes may be based on a HTML framework. In some implementations, the associate mapping of the data message may be based on a service request selected from the group consisting of a GET request, a PUT request, a POST request, and a DELETE request. The wireless connection may include a network selected from group consisting of Zigbee, Bluetooth, WiMax, Wi-Fi, GSM, PCS, and D-AMPS, IEC, 6LoWPAN, Ant, DASH7, EnOcean, INSTEON, NeuRF ON, Senceive, WirelessHART, Contiki, TinyOS, GPRS, TCP/IP, CoAP, MQTT, TR-50, OMA LW M2M, ETSI M2M. The data object model may be structured in a dynamic REST API object model. In some implementations, the method may include receiving, at a port of a computing device, a first instantiation of a message in the second communication protocol. The message may be received via a wireless connection. In some implementations, the method may include classifying, by a processor of the computing device, the first instantiation of the message as being either a control message or a data messages. In some implementations, the method may include translating, by a processor of the computing device, the first instantiation of the message to produce a second instantiation of the message where upon the message having been classified as a control message, the processor maps the control message to one or more control codes of the plurality of control codes and where upon the message having been classified as a data message, the processor maps the data message to a corresponding binary message having the self-describing schema. In some implementations, the method may include transmitting, at the port of the computing device, the second instantiation of the message. The first communication device may transmit the second instantiation of the message to the platform server over a web-socket connection.

In some implementations, the present disclosure describes a system including a processor and a memory, the memory storing instruction that, when executed by the processor, cause the processor to provide a first communication protocol and a second communication protocol in a memory of a device where the first communication protocol includes a number of control codes and binary messages having a self-describing schema. The self-describing schema may be of a data object model where instances of the second communication protocol are associatively mapped to the instances of the first communication protocol. The associative mapping between the first communication protocol and the second communication protocol may be stored in persistent memory. In some implementations, the wireless connection may include a network selected from the group consisting of Zigbee, Bluetooth, WiMax, Wi-Fi, GSM, PCS, and D-AMPS, IEC, 6LoWPAN, Ant, DASH7, EnOcean, INSTEON, NeuRF ON, Senceive, WirelessHART, Contiki, TinyOS, GPRS, TCP/IP, CoAP, MQTT, TR-50, OMA LW M2M, ETSI M2M. The data object model may be structured in a dynamic REST API object model. In some implementations, the associative mapping of the control codes may be based on a HTML framework. In some implementations, the associate mapping of the data message may be based on a service request selected from the group consisting of a GET request, a PUT request, a POST request, and a DELETE request. In some implementations, the instructions, when executed, further cause the processor to receive, at a port of a computing device, a first instantiation of a message in the second communication protocol. The message may be received via a wireless connection. In some implementations, the instructions, when executed, further cause the processor to classify the first instantiation of the message as being either a control message or a data messages. In some implementations, the instructions, when executed, further cause the processor to translate the first instantiation of the message to produce a second instantiation of the message where upon the message having been classified as a control message, the processor maps the control message to one or more control codes of the plurality of control codes and where upon the message having been classified as a data message, the processor maps the data message to a corresponding binary message having the self-describing schema. In some implementations, the method may include transmitting, at the port of the computing device, the second instantiation of the message. The first communication device may transmit the second instantiation of the message to the platform server over a web-socket connection.

In some implementations, the present disclosure describes a non-transitory computer readable medium having instructions stored thereon, where the instructions, when executed by a processor, cause the processor to provide a first communication protocol and a second communication protocol in a memory of a device where the first communication protocol may include a number of control codes and binary messages having a self-describing schema. The self-describing schema may be of a data object model where instances of the second communication protocol are associatively mapped to the instances of the first communication protocol. The associative mapping between the first communication protocol and the second communication protocol may be stored in persistent memory. In some implementations, the wireless connection may include a network selected from the group consisting of Zigbee, Bluetooth, WiMax, Wi-Fi, GSM, PCS, and D-AMPS, IEC, 6LoWPAN, Ant, DASH7, EnOcean, INSTEON, NeuRF ON, Senceive, WirelessHART, Contiki, TinyOS, GPRS, TCP/IP, CoAP, MQTT, TR-50, OMA LW M2M, ETSI M2M. The data object model may be structured in a dynamic REST API object model. In some implementations, the associative mapping of the control codes may be based on a HTML framework. In some implementations, the associate mapping of the data message may be based on a service request selected from the group consisting of a GET request, a PUT request, a POST request, and a DELETE request. In some implementations, the instructions, when executed, further cause the processor to receive, at a port of a computing device, a first instantiation of a message in the second communication protocol. The message may be received via a wireless connection. In some implementations, the instructions, when executed, further cause the processor to classify the first instantiation of the message as being either a control message or a data messages. In some implementations, the instructions, when executed, further cause the processor to translate the first instantiation of the message to produce a second instantiation of the message where upon the message having been classified as a control message, the processor maps the control message to one or more control codes of the plurality of control codes and where upon the message having been classified as a data message, the processor maps the data message to a corresponding binary message having the self-describing schema. In some implementations, the method may include transmitting, at the port of the computing device, the second instantiation of the message. The first communication device may transmit the second instantiation of the message to the platform server over a web-socket connection.

In some implementations, the present disclosure describes a communication engine including a communication port configured to receive one or more data streams, including a first data stream and a second data stream, wherein the data stream comprises a binary dynamic REST messages. The data stream may include one or more data fields where each of the data fields include a field value and a length identifier of the field value, the length identifier preceding a corresponding field value in each of the data fields. The communication port may receive the one or more input data stream over a web-socket connection. The message may include a data object having an event object, a service object, a property object, and an attribute object. Each of the one or more input data streams may include an identifier of a number of one or more data streams that form a given complete executable message. Each of the one or more data streams may include a message number identifier that indicate a location of a given decoded data stream within the complete executable message. Each of the one or more data streams may form a portion of a complete executable message. In some implementations, the communication engine may include a first buffer to store a received first data stream and a received second data stream. In some implementations, the communication engine may include a second buffer to store portions of a decoded message. In some implementations, the communication engine may include a processor configured to decode the received data stream buffered within the first buffer to produce a given decoded portion. The processor may store the given decoded portion to the second buffer where the processor initiates decoding of the received first data stream buffered within the first buffer prior to a complete receipt of the received second data stream. In some implementations, the communication engine may include a second buffer to store decoded portions of the one or more data streams having been buffered in the first buffer where the processor transmits a signal when the second buffer comprises each of the one or more data streams forming a given complete executable message. In some implementations, the communication engine may include a decryption engine to decode an encrypted portion of the input data streams, which is encrypted.

In some implementations, the present disclosure describes a method of using chunk-based communication of binary Dynamic REST message. The method may include receiving, at a port, one or more data streams, including a first data stream and a second data stream. The data stream may include one or more data fields where each of the data fields include a field value and a length identifier of the field value, the length identifier preceding a corresponding field value in each of the data fields. The communication port may receive the one or more input data stream over a web-socket connection. The message may include a data object having an event object, a service object, a property object, and an attribute object. Each of the one or more input data streams may include an identifier of a number of one or more data streams that form a given complete executable message. Each of the one or more data streams may include a message number identifier that indicate a location of a given decoded data stream within the complete executable message. Each of the one or more data streams may form a portion of a complete executable message. In some implementations, the method may include storing, at a first buffer, a received first data stream and a received second data stream. In some implementations, the method may include storing, at a second buffer, portions of a decoded message. In some implementations, the method may include decoding, using a processor, the received data stream buffered within the first buffer to produce a given decoded portion. The processor initiates decoding of the received first data stream buffered within the first buffer prior to a complete receipt of the received second data stream.

In some implementations, the present disclosure describes a non-transitory computer readable medium having instructions stored thereon, where the instructions, when executed by a processor, cause the processor to receive, at a port, one or more data streams, including a first data stream and a second data stream. The data stream may include one or more data fields where each of the data fields include a field value and a length identifier of the field value, the length identifier preceding a corresponding field value in each of the data fields. The communication port may receive the one or more input data stream over a web-socket connection. The message may include a data object having an event object, a service object, a property object, and an attribute object. Each of the one or more input data streams may include an identifier of a number of one or more data streams that form a given complete executable message. Each of the one or more data streams may include a message number identifier that indicate a location of a given decoded data stream within the complete executable message. Each of the one or more data streams may form a portion of a complete executable message. In some implementations, the instructions, when executed, further cause the processor to store, at a first buffer, a received first data stream and a received second data stream. In some implementations, the instructions, when executed, further cause the processor to store, at a second buffer, portions of a decoded message. In some implementations, the instructions, when executed, further cause the processor to decode, using a processor, the received data stream buffered within the first buffer to produce a given decoded portion. The processor initiates decoding of the received first data stream buffered within the first buffer prior to a complete receipt of the received second data stream.

Elements from embodiments of one aspect of the invention may be used in other aspects of the invention (e.g., elements of claims depending from one independent claim may be used to further specify embodiments of other independent claims). Other features and advantages of the invention will be apparent from the following figures, detailed description, and the claims.

BRIEF DESCRIPTION OF THE DRAWINGS

The foregoing and other objects, aspects, features, and advantages of the present disclosure will become more apparent and better understood by referring to the following description taken in conjunction with the accompanying drawings, in which:

FIG. 1 is a block diagram of an example system for enabling communications between a platform server and a plurality of computing devices in accordance with an embodiment of the invention.

FIG. 2 is a block diagram of an example communication channel for transmitting and receiving messages formatted according to an API protocol in accordance with an embodiment of the invention.

FIG. 3A is a block diagram of the API protocol library in accordance with an embodiment of the invention.

FIG. 3B shows an example structure of message output of binary Dynamic REST API components in accordance with an embodiment of the invention.

FIG. 3C shows an example HTTP REST API codes utilized by the API protocol library in accordance with an embodiment of the invention.

FIG. 3D shows an example structure of a message header utilized by the API protocol library in accordance with an embodiment of the invention.

FIG. 3E is an example codebook of the API protocol library in accordance with an embodiment of the invention.

FIGS. 3F-3G show example structures of multi-part headers utilized by the API protocol library in accordance with an embodiment of the invention.

FIG. 3H shows an example structure of an authentication body utilized by the API protocol library in accordance with an embodiment of the invention.

FIG. 3I shows an example structure of a binding and unbinding message body utilized by the API protocol library in accordance with an embodiment of the invention.

FIG. 4 is a block diagram of an example message transmission and reception using the API protocol library in accordance with an embodiment of the invention.

FIG. 5 is a block diagram of an example of a message transmission and reception using the API protocol library in accordance with an alternative embodiment of the invention.

FIG. 6A illustrates an example encoded message generated by the binary dynamic REST API in accordance with an embodiment of the invention.

FIG. 6B illustrates the example REST message in a JavaScript Object Notation format.

FIGS. 7A-7C illustrate an example method of generating a serialized binary Dynamic REST API message in accordance with an embodiment of the invention.

FIG. 8 illustrates an example method of partitioning an encoded message in accordance with an embodiment of the invention.

FIG. 9 is a flowchart of an example method of reassembling a message in accordance with an embodiment of the invention.

FIG. 10 is a block diagram of an example computing device running a client-application executing a software development kit (SDK) that uses the API protocol library in accordance with an embodiment of the invention.

FIG. 11 is a block diagram of an example method of wrapping third party protocols using the API protocol library in accordance with an embodiment of the invention.

FIG. 12 is a flowchart of an example method for parsing a self-describing message in accordance with an embodiment of the invention.

FIG. 13 is a flowchart of an example method of using a WebSocket connection to transmit Dynamic REST messages in accordance with an embodiment of the invention.

FIG. 14 is a flowchart of an example method of communicating using a third party protocol in accordance with an embodiment of the invention.

FIG. 15 is a flowchart of an example method of communicating using chunked messages in accordance with an embodiment of the invention.

FIG. 16 is a block diagram of a computing device and a mobile computing device.

The features and advantages of the present disclosure will become more apparent from the detailed description set forth below when taken in conjunction with the drawings, in which like reference characters identify corresponding elements throughout. In the drawings, like reference numbers generally indicate identical, functionally similar, and/or structurally similar elements.

DETAILED DESCRIPTION

It should be understood that systems, devices, methods, and processes of the claimed invention encompass variations and adaptations developed using information from the embodiments described herein. Adaptation and/or modification of the systems, devices, methods, and processes described herein may be performed by those of ordinary skill in the relevant art.

Throughout the description, where articles, devices, and systems are described as having, including, or comprising specific components, or where processes and methods are described as having, including, or comprising specific steps, it should be understood that, additionally, there are articles, devices, and systems of the present invention that consist essentially of, or consist of, the recited components, and that there are processes and methods according to the present invention that consist essentially of, or consist of, the recited processing steps.

It should be understood that the order of steps or order for performing actions is immaterial so long as the invention remains operable. Moreover, two or more steps or actions may be conducted simultaneously.

The mention herein of any publication or patent application, for example, in the Background section, is not an admission that such publication or patent application constitutes prior art with respect to any of the claims or subject matter presented herein. The Background section is presented for purposes of clarity and is not intended to be a description of prior art with respect to any claim.

Methods and systems are described herein that employ a communication protocol to enable a vast number of computing devices to connect to a computing platform (e.g., for machine-to-machine communications and communications of IoT connected devices) in an efficient, flexible, and cost-effective manner. The communication protocol further enables a low-latency bidirectional connection using a persistent connection (e.g., via a WebSocket connection) to transmit messages (e.g., HTTP RESTful messages) among devices within a network- and/or Internet-based computing platform.

The communication protocol further employs, in some example implementations, a binary request/response construct based on Hypertext Transfer Protocol (HTTP) for a set of common messages and requests. Such a binary request/response construct allows the connected devices to interface to legacy systems through the standard REST API, in addition to the binary dynamic REST API.

Indeed, the communication protocol further employs, in some example implementations, dynamic REST API (e.g., for data and configuration messages) that are serialized and binarized (e.g., expressed in binary symbols) to beneficially reduce the verbosity of an HTTP RESTful API, while preserving its flexibility. Moreover, the dynamic REST API protocol employs a model-based schema to describe the transmitted message in a self-describing format, which allows the message structure to change (e.g., in order, length, types, etc.) based on the message description in the meta-construct. Moreover, the dynamic REST API protocol employs a data and information model that describes the underlying organization and properties of the meta-construct and the message-construct. The information model beneficially allows upgrading of the underlying structure of the message without expending its number of bits during normal operation.

The communication protocol further facilitates the transmission of large dynamic REST messages using a small fixed memory usage for each connection.

FIG. 1 is a block diagram of an example system 100 for enabling communications between a platform server 102 (shown as either “platform server 102 a” and “platform server 102 b”) and a plurality of computing devices 104 in accordance with an embodiment of the invention. Each of the computing devices 104 connects to an edge server 106 that services and maintains communication with a group of computing devices 108 (shown as 108 a, 108 b, 108 c, and 108 d).

A computing device 104, in some examples, is an electronic device that can communicate properties data and information, services data and information, and events data and information, and the like, relating to physical assets/devices, computer applications, systems, people, data objects, and platform services. In some implementations, the computing device 104 is a sensor or a machinery at an industrial complex; a computer or an office equipment at a business or government office; a point-of-sale machine at a market place or a vending machine; a construction equipment or a vehicle; a power generation or distribution equipment; a power substation or transmission equipment; a building meter; a server; a networking or routing equipment; a smart appliance; an exercise machine; a medical device or a prosthesis device; a medical diagnostic device or a hospital equipment; a commercial vehicle or a transport container; a motor vehicle or an electric bicycle; a cellphone, a laptop, a tablet, an electronic reader; or a clothing electronic-tag.

While servicing data and information for sets of computing devices 104, one or more edge servers 106 communicate to an intermediary server, referred to as an API server 110 (or “connection server 110”, shown as 110 a, 110 b, 110 c, 110 d, and 110 e). In some implementations, the communication exchange occurs across a network infrastructure 112, such as the Internet 112 a, a Wide-area network 112 b, or a third-party network 112 c. In turn, the one or more API servers 110 communicate to the platform server 102. The platform server 102, the API servers 110, and the edge servers 106, collectively form a distributed computing environment for servicing data and information of the computing devices 104. In some implementations, a given API server 110 communicates to a set of edge servers 106 through a set of network security equipment 114 (e.g., 114 a-h). The network security equipment 114 secures the API server 110 and the platform server 102 from the network infrastructure 112, and also secures the group of edge servers 106 and computing devices 104. The network security equipment 114 may run, for example, a firewall or Network Address Translation (NAT) protocol.

FIG. 2 is a block diagram of an example communication channel 200 for transmitting and receiving messages 202 formatted according to an API protocol in accordance with an embodiment of the invention. The persistent communication channels 200 includes persistent connections, such as a first persistent connection 103 and a second persistent connection 105, as described in relation to FIG. 1.

As shown in FIG. 2, the platform server 102 runs a server-client application having an API protocol library 204 (shown as 204 a) that defines the API protocol. The edge server 106 runs a server-client application having the same API protocol library 204 (shown as 204 c). To this end, messages being communicated between the platform server 102 and the edge servers 106 share, for the most part, the same structure. In some implementations, the same API protocol is employed among all of the components within the distributed computing environment.

This symmetry of the messages is intended to reduce the complexity of operation of the connection server 110, in some implementations, as the connection server 110 can service (e.g., process) each communicated message in the same manner without much regard to the source or target.

The API protocol library 204 provides a number of server-client application functions that dynamically generate application interfaces for servicing data and information. In some implementations, the application interface is based on a Dynamic REST API that generates binary messages. In other implementations, the interface is based on JavaScript Object Notation (“JSON”) or Extensive Markup Language (“XML”) data formatting. Examples of usage of Dynamic REST APIs in a model-based development application is described in U.S. Patent Application No. 13/678,885, titled “Methods for Dynamically Generating Application Interfaces for Modeled Entities and Devices Thereof,” and filed Nov. 16, 2012. The content of this application is hereby incorporated by reference herein in its entirety.

FIG. 3A is a block diagram of the API protocol library 204 in accordance with an embodiment of the invention. The API protocol library 204 includes a binary Dynamic-REST API component 302 and a fixed-HTTP REST API component 304.

The Dynamic REST API 302 employs a model-based schema to describe data and information in which the inputs and outputs of the schema are expressed in a self-describing textual data format, such as JSON or XML. In some example embodiments, self-describing refers to the concept of including descriptive information (e.g., self-describing data (SDD)) within a piece of data (e.g., input or output, file, and the like). The application interface is “dynamic” in that data and information are represented in an evolving and modify-able framework. Specifically, in some example implementations, the application interface employs, as self-describing data, a series of characteristic definitions to describe types of information relating to a given entity (also referred to as a “Thing”), such as a physical asset/device, a computer application/ system, a person, a data object, or a platform service.

Information Model Framework of Dynamic REST API Library

In some implementations, the binary Dynamic REST API component 302 outputs serialized binary data representing data- and informational-models.

In some implementations, characteristic definitions include a “property” definition 303 a, a “service” definition 303 b, an “event” definition 303 c and an “attribute” definition 303 d. Each of these characteristic definitions serves as an elementary building block in describing a model of the entity and is expressed as an abstract class that can inherit one or more classes, abstract classes, and/or data structures. The characteristic definitions are organized, collectively, in a template class with other characteristic definitions. To this end, a developer of applications to service data and information of a computing device may model an entity (also referred to as a “Thing”) that represents a physical-world equivalent containing a complete set of data, services, events, historical activities, collaborations, relationships, and the like, that define a Thing and its place in an organizational landscape.

In some implementations, a “Thing” is defined as an instance of a “Thing Template.” A “Thing Template” may be an abstract class that can inherit from one or more “Thing Shapes.” Properties, services, and events can be defined by the “Thing Shape”, “Thing Template” or “Thing instance.” If a “Thing Template” inherits from one or more “Thing Shapes”, all of the properties, events, and services of the “Thing Shapes” become a part of the “Thing Template.” When a “Thing instance” is created from a “Thing Template”, all of the properties, events, and services of the “Thing Template” are realized (e.g., inherited) within the “Thing instance.”

In some implementations, data objects are represented as “InfoTables” and “Streams.” “InfoTables” and “Streams” may be described and defined by “DataShapes 305,” which are reusable, abstract data object definitions. An “InfoTable” is similar to a relational database table or the like, which represents a data object two dimensionally (e.g., with columns and rows). A “Stream” is designed to capture data points, such as sequential time series data or the like. “Streams” and “InfoTables” may also have services and events.

Entities can subscribe, if authorized, to other (e.g., corresponding to other entities) entity events and can consume other entity services. When an entity is defined, it becomes discoverable through an interface, such as a standard Representational State Transfer (REST) interface, over HTTP, HTTPS or the like. Therefore, the model namespace is available over a dynamic REST interface. Whatever a user defines the model to be, it may appear as a REST interface. The REST interface for the model may include a description of the properties, services, and events for each entity. A service is a simple or complex function provided on a server, which is accessible to a REST interface. A service has inputs, processes, and outputs. An event may be a change of data and/or status of an entity. An event has a data output that is sent to each event subscriber when the event is detected.

The dynamic REST interface is based on an inheritance or object oriented model. If a new service, property, or capability is defined at the “Thing Shape” or “Thing Template” level, each “Thing” instance that is derived from those Thing Shape” or “Thing Template” entities immediately inherits that service, property or capability. The Dynamic REST API 302 employs this dynamic REST interface.

The REST interface for the namespace describes how to process services for each entity in the model. In some example implementations, when a new “Thing” is defined in the model, the services and data for the “Thing” become available as a set of REST interfaces.

Communication Protocol Overview

FIG. 3B shows an example structure of a message output of the binary Dynamic REST API component 302 in accordance with an embodiment of the invention.

A message generated from the binary Dynamic REST API may include metadata construct 306 and a message construct 308. The metadata construct 306 describes a given structure of the message construct 308. Collectively, in some implementations, the metadata construct 306 and a message construct 308 form the message body 305.

The message construct 308 may include the actual data sets that a server-client application intends to transmit. In some implementations, these data sets are referred to as “Row Data 308”. The datasets (e.g., Row Data 308) may include one or more data values 310. The metadata construct 306 may include one or more description data sets 312 corresponding to and/or including a given data value forming the data set. The description sets 312 may include one or more description values 314. In some implementations, the metadata construct 306 is referred to as a “Datashape 306,” where each of the description sets 312 forms a given field definition of the Datashape 306. Examples of field definitions may include a name, description, type, and aspects. These definitions describe a given data 316 in the Row Data 310.

In some implementations, the message generated from the binary Dynamic REST API includes a first type of binary markers 318 to delineate each of the data sets 310 and each of the description sets 312. These binary markers 318 may mark the beginning of the data sets and the description sets. Additionally, each of the metadata construct 306 and the message construct 308 may include a second binary marker 320 to mark the end of the metadata construct 306 and the message construct 308.

In some implementations, each of the data sets 310 and the description sets 312 includes data expressed as character strings, numbers, and enumerations (e.g., 322, 324, 326). Character strings may be text data. Numbers may include floating and fixed point numbers. Enumerations generally include data types. Each character string 322 may include a length-description field preceding the actual string value to provide a forward descriptor of the content. To this end, a given character string 322 in encoded form may be parsed without the complete character string 322 being available. Groups of unknown data may include a count field 328 to identify the number of such string data to follow.

To reduce the memory requirement for the protocol, in some implementations, the protocol encodes a first portion set of a message using binary representations defined as symbols stored in a codebook library. In some implementations, the binary representation includes byte enumerations.

The protocol may encode a second portion set of the message using standard data formats that are native to a given computing device. Examples of such standard data formats include Unicode characters, such as UTF-8.

The message may be formatted as a binary string optimized for transmission using a WebSocket protocol.

Communication Protocol-Fixed-HTTP REST API Component

Turning back to FIG. 3A, the HTTP REST API component 304 may include messaging-type definition codes 330 and status codes 332 derived from the HTTP framework, as defined within the Hypertext Transfer Protocol application protocol version 1.1 (commonly referred to as “HTTP/1.1” or “HTTP”) and published in IETF/W3C RFC 2616. The HTTP REST API codes are provided in FIG. 3C. Examples of status codes 332 include success code 332 a, client error codes 332 b, and server error codes 332 c. Examples of messaging-type definition codes 330 include those related to device binding, authentication, and request messaging.

In some implementations, the messaging-type definition codes 330 and status codes 332 are a part of a message header 338 having routing information for the message. An example of the structure of the message header is shown in FIG. 3D. In some implementations, the message header 338 includes a header identification number 340, routing information 342 (e.g., request identification number 342 a, session number 342 b, and endpoint identification number 342 c), and method codes 344. The method codes 344 may be used to specify the type of message located in the message content. The message header 338 may include a multipart marker 346 to indicate that the message is a part of a collection of messages, that, when combined, form a single message.

Referring still to FIG. 3A, in some implementations, the API protocol library 204 includes a message partitioning module 334 for segmenting a given message into a fixed size block for transmitting. The segmenting may facilitate the transmission of large messages using a small fixed memory usage for each of the connections. The message partitioning module 334 may chunk or partition a given message and reassemble the chunks or partitions at the application level rather than at the transport level.

The API protocol library 204 may employ metadata, such as the length-description field for character strings 322 or the count fields 328, as described in relation to FIGS. 7A and 7B, to allow parsing of a given message content without having the complete message. That is, the metadata describes the content that is to follow the metadata within a given message. Using the message partitioning module 334, a given message generated by the binary Dynamic REST API 302 may be partitioned into chunks, and each of the chunks may be decoded prior to the complete message being received.

To this end, a message of any length may be decoded using a buffer of only two message lengths for the decoding. In some implementations, the server-client side application employs a fixed-buffer preferably between 1 Kbytes and 1 MBytes buffer, even more preferably between 4 Kbytes and 64 Kbytes, even more preferably between 4 Kbytes and 8 Kbytes.

In some embodiments, a multipart header 348 is employed in the message to indicate that the complete message is distributed among multiple chunks or partitions. An example of the structure of the message multipart header 348 is shown in FIGS. 3F and 3G. As shown in FIGS. 3F and 3G, the message multipart header 348 includes a current chunk identification number 350 a, a total chunk number 350 b, and a chunk size identifier 350 c. The message multipart header 348 may be inserted between the header 338 (shown also as “mult-part 346”) and the message body 339 (shown as “body 339”).

In some implementations, the API protocol library 204 may employ different message structures depending on the direction of message flow. For example, for an inbound message from a client-side application to a server-side application, the routing information 342 d may be included in the multi-part message header 348 to provide the destination information (see FIG. 3G).

Turning back to FIG. 3A, in some implementations, the API protocol library 204 is used in conjunction with the WebSocket API 336 to communicate the output message of the API protocol library 204 via the WebSocket. WebSocket API 336 may be employed to stream messages on top of the Transmission Control Protocol (TCP). In some implementations, the WebSocket API 336 is a part of HTMLS WebSocket protocol. The message output of the API protocol library 204 may be configured to be entirely binary to further improve communications over the WebSocket API 336.

Example of Encoding of Binary Messages using the Dynamic REST API Protocol Library

FIG. 4 is a block diagram of an example message transmission and reception using the API protocol library 204 in accordance with an embodiment of the invention. A client-server application 400 a may call a function to transmit a message to another client-server application 400 b. The function call may be a part of the API protocol library 204.

In some implementations, the binary Dynamic REST API 302 outputs a serialized binary stream corresponding to a self-described message. FIG. 6A illustrates an example encoded message 602 generated by the binary dynamic REST API 302 in accordance with an embodiment of the invention. FIG. 6B illustrates the example encoded message 602 of FIG. 6A represented in a JavaScript Object Notation (JSON) format.

To this end, the embodiments described herein show a reduction of over 50 percent of the message length compared to a JSON format message having the same message content. A typical JSON message is organized having an attribute-value pair delimited by colons “:” in which the pair values may be another attribute-value pair, delimited by an open bracket “1” and a closed bracket “1”. The attribute-value pair format provides a flexible schema to describe a message.

To improve the information efficiency of a given message, the binary dynamic REST API 302 may generate the message 602 with only the data object. The binary dynamic REST API 302 may store a structural description of the description values 314 as part of the metadata construct 306, namely the DataShape 312 (as the structural description). The description values 314, in turn, may provide a definition for the data values 316, namely the Row Data 316 in the message construct 310. In some implementations, the binary dynamic REST API 302 may employ (i) a first binary markers 318 to mark the beginning of each of the data sets 310 and the description sets 312 and (ii) a second binary marker 320 to mark the end of each of the data sets 310 and the description sets 312. In some embodiments, the various punctuation and label elements such as those associated with JSON-base message are not necessary to include.

FIGS. 7A-7C illustrate an example method of generating a serialized binary Dynamic REST API message in accordance with an embodiment of the invention.

Specifically, FIGS. 7A and 7B show examples of generating a metadata portion of a message in accordance with an embodiment of the invention. FIG. 7C shows an example of generating the data portion of the message in accordance with an embodiment of the invention.

Turning now to FIG. 7A, the message structure of the metadata portion 702 is shown along with a marked-up text representation 704 of the JSON message shown in FIG. 6B. The JSON message shows a self-describing message having one or more metadata construct definition sets 312 and one or more message construct data values 310.

The metadata portion 702 may include one or more field definitions corresponding to the “Datashape” 312, as described in relation to FIG. 3B. As shown in FIG. 7A, the field definitions include a marker field 712, a name field 714, a description field 716, a type field 718, an aspect count field 720, and an aspect field 722.

A given message construct 308 may include groups of data values 310 described by description values 312 of a corresponding metadata construct 306. As described in relation to FIGS. 7A-7C, the message construct 308 is referred to as the “Row Data” (shown in the example as “rows” 724), and the metadata construct 312 is referred to as the “DataShape” (shown in the example as “datashape” 726).

As shown in FIGS. 7A-7C, the “datashape” 726 includes three field-definitions (728, 730, and 732). Encoding of two of the three field-definitions (“pushThreshold” 728 and “push Type” 732) is discussed in relation to FIG. 7A, and the third of the three field-definitions (“edge Name” 730) is discussed in relation to FIG. 7B.

As shown in FIGS. 7A-7C, each of the field definitions 728, 730, and 732 includes a group of description values 734 common to each other, namely “name,” “description,” “baseType,” and “aspects.” These description values 734 are example implementations of types of characteristic definitions that may collectively form a template class of the model-based schema used by the dynamic REST API 302, as described in relation to FIG. 3A.

As shown in FIGS. 7A-7C, each of the group of definitions 734 has an “attribute”-“value” pair, formatted in accordance with the JSON format. In encoding the message, only the “value” portion of the pair is used (within the message). The attribute portion of the pair is stored as part of a structural definition of the model-based schema that is incorporated into the binary dynamic REST API 302.

To generate a binary message of the example JSON message 602, in some implementations, a marker value is first added to the binary message. As discussed in relation to FIG. 3B, a marker 318 (shown in FIG. 7A as 712) delineates each of the data sets 310 (such as the “row data” 724) of the message construct 308 and each of the description sets 312 (such as the “field definitions”, shown as “datashape” 312) of the metadata construct 306. The marker 712 marks the beginning of the data sets 724 and the description sets 312. Additionally, a second type of marker 320 (shown in FIG. 3B) marks the end of the metadata construct 306 and the message construct 308. In some implementations, the marker value may be a single digit binary value (e.g., “1” or “0”).

As shown in FIG. 7A, in some implementations, a “name” value 736, a “description” value 738, a “baseType” value 740, and an “aspect” value 742 follow the marker 712.

The “name” value 736 may be expressed as a character string. In the binary message, a given character string may be defined by a length identifier 744 that precedes the value 746 of the character string, which is expressed in UTF-8 format (Unicode standard). As shown in FIG. 7A, the character string “pushThreshold” 736 has a length of “13” characters (which can be represented in hexadecimal code as “0×0d”) and has a data value (in hexadecimal code) of “0×70 0×75 0×73 0×68 0×54 0×68 0×72 0×65 0×73 0×68 0×6f 0×6c 0×64” when expressed in UTF-8. This conversion is annotated in box 748. To this end, the hexadecimal value “0×0d 0×70 0×75 0×73 0×68 0×54 0×68 0×72 0×65 0×73 0×68 0×6f 0×6c 0×64” is appended to the binary message.

As shown, the “description” value 738 is a character string having “39” characters (hexadecimal code “0×57”). In UTF-8, the character string “Change threshold to generate event for numeric properties” is expressed, in hex-value, as:

-   -   0×43 0×68 0×61 0×6e 0×67 0×65 0×20 0×74 0×68 0×72 0×65 0×73 0×68         0×6f 0×6c 0×64 0×20 0×74 0×6f 0×20 0×67 0×65 0×6e 0×65 0×72 0×61         0×74 0×65 0×20 0×65 0×76 0×65 0×6e 0×74 0×20 0×66 0×6f 0×72 0×20         0×6e 0×75 0×6d 0×65 0×72 0×69 0×63 0×20 0×70 0×72 0×6f 0×70 0×65         0×72 0×74 0×69 0×65 0×73.

As shown, the “baseType” value 740 is represented as a type of data format. In some implementations, the data format information is preferably expressed as a binary symbol that is defined in a codebook composing a portion the API protocol library 204. FIG. 3E is an example codebook of the API protocol library 204 in accordance with an embodiment of the invention. In some implementations, the binary symbol for a “number” 343 is preferably 8 bits long. This conversion is annotated in box 752.

As shown, the “aspects” value 742 is a number. In some implementations, the “aspects” value is a two byte SHORT (e.g., having two bytes, each being 4 bits in length). Here, the value is NULL or EMPTY and is expressed, in hex-value, as “0×00 0×00.” This conversion is annotated in box 754 (of FIG. 7A).

In some implementations, the process of appending binary representations of the group of definitions 312 to form the metadata construct 306 is repeated for the entirety of the message 602. To this end, the various data-values of the “edge Name” and “pushType” field-definitions 730, 732 are appended to the binary message. The values of these data-values are provided in annotated box (756, 758, 760, 762, 764, 766, 768, and 770). In some implementations, an end marker 320 (e.g., code “0×00”) follows the data-values to delineate the end of the message construct 306. In some implementations, the order of each respective field-definition 312 in the binary message is not used in the encoding or decoding of the message, as each of the field-definitions 312 is described using a name identifier.

Referring to FIG. 7B, in some implementations, a group of aspect value is nested within the group of data-values. The aspect count field 720 may define a number of such nested groups (see box 770). In some implementations, each of the aspect groups includes an “aspect name” value 772, an “aspect type” value 774, and an “aspect data” value 776. Encoding of a given aspect-group may be similar to encoding of the other groups in the JSON message, in which, for example, character strings (e.g., 746) are preceded by a length identifier (e.g., 744), and data types (e.g., 718) are expressed as binary symbols. In some implementations, the “aspect name” value 772 is a character string; the “aspect type” value 774 is a data type; and the “aspect data” value 776 is a value having a format described by the “aspect type” value.

Referring now to FIG. 7C, encoding of the message construct 308 of the example message 602 is described. As discussed in relation to FIG. 3B, the metadata construct 306 describes a given structure of the message construct 308. To this end, in some implementations, each of the Row Data 310 of the message construct 308 is described by the description values 312 included in the metadata construct 306.

As shown in FIG. 7C, the metadata construct 306 includes three field definitions, namely a “pushThreshold” field definition 728, an “edge Name” field definition 730, and a “pushType” field-definition 732. To this end, the “Row Data” (778, 780, 782, 784, and 786) is structured according to these field definitions 728, 730, 732.

In some implementations, a “Row Data” 310 (shown as 724 in FIG. 7C) includes a marker 712, a row-count field 788, and a number of data groups 790 corresponding to the number value of row-count field 788. Each of the data groups 790 may include a data type field 792 and a value field 794.

As shown in FIG. 7C, “Row Data” 778 includes a “pushThreshold” value “100000”, an “edge Name” value “InMemory_String,” and a “pushType” value “NEVER.”

As defined by the “pushThreshold” field-definition 728, the value “100000” is a “NUMBER.” In some implementations, a number is expressed as an 8-byte DOUBLE. To this end, the value “100000” is equivalent to hex-value “0×40 0f8 0×6a 0×a0 0×00 0×00 0×00 0×00”, as is shown in box 796.

The “edge Name” and “pushType” data are character strings, as defined by their respective field-definitions 730 and 732, and may be encoded in the manner described above.

In some implementations, binary representations of the Row Data 724 are appended to form the message construct 308 for the entirety of the message 602.

Of course, other means of generating a binary dynamic REST messages may be employed.

Message Partitioning and Multiple-part Message Operations

Turning now to FIG. 4, subsequent to the binary Dynamic REST API 302 having generated the serialized binary stream, the message partitioning module 334 of the API protocol library 204, as described in relation to FIG. 3A, may partition the encoded message 402 into a number of chunked messages 406.

The partition operation may facilitate the transmission of large messages using a small amount of fixed memory for each connection. In some implementations, the message partitioning module 334 chunks or partitions a given message and reassembles the chunks and/or partitions at the application level rather than at the transport level.

Moreover, the API protocol library 204 may inject (e.g., add, append) metadata, such as the length-description field for character strings 322 or the count fields 328 (as for example, described in relation to FIGS. 3B and 7A-7C), into a given message to allow parsing of a partial message and its content without the complete message being available. To this end, a given message generated by the binary Dynamic REST API 302 may be partitioned into chunks where each of the chunks is decoded prior to the complete message being received. In some implementations, the chunks associated with a given message is parse upon all the chunks for that message being received.

FIG. 8 illustrates an example method of partitioning an encoded message in accordance with an embodiment of the invention. The message partitioning module 334 (of FIG. 3A) may partition the encoded message 402 into a number of chunked message 406. In some implementations, the length of the message may be fixed or variable.

In some implementations, the message partitioning module 334 may inject metadata information relating to the partitioning into a header (e.g., multipart header 348). FIGS. 3F-3G show example structures of multi-part headers 348 utilized by the API protocol library 204 in accordance with an embodiment of the invention. In some implementations, the multi-part header 348 may include a chunk-message identification number 350 a, a total number of chunks 350 b forming the message, and a chunk size 350 c of a given chunked message. To this end, the chunk messages may be decoded in any order of receipt as the identification number allows for assembly of the chunk portions in any sequence. Moreover, the total number of chunk messages allows the assembler to track the number of chunk messages needed and/or expected to complete the transmission. Moreover, the chunk size allows the chunked messages to be of variable length as defined by the size identifier.

In certain implementations, routing information 342 d (see FIG. 3G and also 3D) is included in the multi-part message 348 to assist with the routing of the message, such as for outbound messages being transmitted from the platform server 102. In other implementations, the routing information is also included in inbound messages.

In some implementations, the message partitioning module 334 includes a buffer window having a size preferably between 4 Kbytes and 1024 Kbytes, even more preferably between 8 Kbytes and 16 Kbytes. For large files 804 (see FIG. 8), the binary Dynamic REST API 302 may employ an external file transfer protocol that may operate independently of the binary Dynamic REST API 302 to transact the data exchange.

Metadata Construct in the Binary Message

Turning back to FIG. 4, subsequent to the message partitioning module 334 partitioning the encoded message 402 into one or more chunked messages 406, the API protocol library 204 packages the chunked message 406 with metadata information relating to the message. The chunked message 406 is packaged in the message header 338 and message body 339. The API protocol library 204 may, for example, add identity and target metadata information to the message header 338 and the message body 339.

The API protocol library 204 may encrypt the message using an encryption module 410 a defined, in some implementations, by the API protocol library 204. The encrypted portion may include the entire message or a portion of the message.

Other example implementations that employ metadata information in the message header and body are described in U.S. patent application Ser. No. 14/222,123, titled “System and Method of Message Routing Using Name-Based Identifier in a Distributed Computing Environment,” and filed Mar. 21, 2014. The content of this application is hereby incorporated by reference herein in its entirety.

FIG. 3D shows an example structure of a message header 338 utilized by the API protocol library 204 in accordance with an embodiment of the invention. In some implementations, the header 338 may include a request identification number 342 a that is associated to a given message. In some implementations, the request identification number 342 a may be a 24-digit long binary number with the most-significant digit (MSB) first, though it can be of various data length and endian.

In some implementations, the header 338 includes a session identification number 342 b that is associated to a given name identifier belonging to a particular computing device 104. In some implementations, the session identification number 342 b is used by a given connection server 110 to determine a binding path of a given computing device 104. In some implementations, the session identification number 342 b may be a 32-digit long binary number with the most-significant digit (MSB) first, though it can be of various data length and endian.

In some implementations, the header 338 includes an endpoint identification number 342 c that is associated to routing information for a given persistent connection 200. The endpoint identification number 342 c may be a 32-digit long binary number with the most-significant digit (MSB) first.

In some implementations, the header 338 includes a message type field 344, referred to as a “Method code 344.” For request type messages, the message type field 344 may include a code corresponding to the request type message. In some implementations, the request type message is based on an HTTP framework and includes a “GET” request, a “POST” request, a “PUT” request, or a “DELETE” request.

In some implementations, the metadata information in the message header 338 and body 339 includes an “entity name” 342 d (corresponding to the source of the data or request), a “characteristic” field 342 e, a “target name” 342 f (corresponding to an intended recipient of the data or request), and a number of message count 342 g.

In some implementations, the API protocol library 204 generates messages produced using the multiple binary Dynamic REST API 302.

Example of Decoding of Messages Encoded by API Protocol Library

Turning now to FIG. 4, in some implementations, the client- or server-side application employs a WebSocket protocol, or the like, to transmit the output message 202 of the API protocol library 204 to a corresponding client- or server-side application. The corresponding client- or server-side application may run a mirroring API protocol library 204 to decode the message.

To decode the received message 202, the encrypted portion of the received message 202 may be decrypted via a decryption module 410 b. As indicated, the encrypted portion may include the entire message or a portion of the message. The decryption module 410 b may return a decrypted message having the header 338 and the chunked message 406.

The API protocol library 204 may receive the header 338 and parse the method code field 344 of the header 338 to determine the message type. In certain instances in which the method code field 344 includes an HTTP request code 330, the API protocol library 204 may send the message body 339 for further processing.

To decode a request message, in some implementations, the API protocol library 204 processor parses the chunked message 406 using marker identifiers, length identifiers, field type identifiers, and field counts identifiers, to retrieve the group of field definitions. The message construct may include groups of data values. In some implementations in which all of the information needed to parse a given encoded portion of the message immediately precedes the encoded data, the API protocol library 204 parses the message in portions (or chunks) without having to wait for the entirety of the message. In instances in which the message was chunked, the partial decoded message is stored in a buffer 418. Upon the message being decoded in its entirety, the API protocol library 204 may signal the buffer 418 or the client-server application to retrieve the complete message to be serviced by the client-server application 401 b.

To perform the decoding in its entirety, the first encoded data stream may be organized with a known DataShape and may include metadata to describe unrestrictive elements within the data stream. In some implementations, the metadata may include forward descriptors of an unrestrictive element. Unrestrictive elements may include objects having variable number of elements. This can include textual information (e.g., strings of text) as well as variable numbers of objects. Unrestrictive elements may also include the variable number of chunked message portions that constitute the entire message. The metadata may include markers to identify separations between the various DataShape.

In being able to decode partial messages independent of one another, the client-side application may be implemented as a light-weight application. A small-fixed decoding buffer typically reduces the cost of implementation for a given device.

FIG. 9 is a flowchart of an example method 900 of reassembling a message 404 in accordance with an embodiment of the invention. The edge server 106 may receive a first encoded data stream 902 (which is a part of the message 404) and decodes the stream 902 in its entirety. The edge server 106 may index the decoded portion of the message with an identifier 904 corresponding to the number of chunked messages. The identifier 904 may be the current chunk identification number 405a employed in the multipart header 405 (see FIGS. 3F and 3G).

The edge server 106 may continue to receive the subsequent encoded data streams 906, 908, and 910. The edge server 106 continues to index the decoded portions 906, 908, and 910 of the messages 404 in the memory.

If a message chunk 912 was corrupted or not received, the edge server 106 may wait for a retransmission of the missing chunk message 1112. Using the chunk identifier 1104, the edge server 106 can decode a given received encoded data stream out of its sequence in the message 404.

Alternatively, the API protocol library 204 may be employed as an encoder or decoder. FIG. 5 is a block diagram of an example of a message transmission and reception using the API protocol library 204 in accordance with an alternative embodiment of the invention. In this embodiment, a client- or server-side application sends a message 402 to the API protocol library 204. The message 402 may be formatted in a human-readable text-language format. Examples include JSON and XML. The message 402 may include data objects delimited by one or more data objects.

The binary Dynamic REST API 302 may parse through the message 402 to retrieve

one or more data objects according to the stored structural description, as shown and described in FIGS. 7A to 7C. The binary Dynamic REST API 302 may serially map each of the elements of a parsed data object to a binary symbol that is defined in the codebook, in order to produce a binary data stream.

Example SDK of API Protocol Library

FIG. 10 is a block diagram of an example computing device 104 running a client-application executing a software development kit (SDK) and using the API protocol library 204. The SDK may reside on less than 75 Kbytes of flash memory 1002. In some implementations, the SDK includes the application and the protocol implementation, including an encryption mechanism.

Communication Operations

FIG. 11 is a flowchart of an example method of communication across multiple communication protocols. The method may be performed, for example, by a software application cooperating with the API protocol library 204 executed on the API server 110.

The API protocol library 204 provides a dynamic REST API interface that flexibly interoperates with other communication protocols.

In some implementations, the method may be performed at the API servers 110. To this end, legacy sensors and computing devices may be upgraded in the context of communications and controls.

FIG. 12 is a flowchart of an example method 1200 for parsing a self-describing messages in accordance with an embodiment of the invention. The method may include storing, at a memory, a first structural description of the binary header and the binary body (step 1202), and a second structural description of the metadata construct. The metadata construct comprises one or more groups of description values corresponding to a given data value of the one or more data values forming the message construct (step 1204). The description values may include a data-value name descriptor, a data-value description-descriptor, and a data value type-descriptor.

In some implementations, the method 1200 includes receiving, at a port, a plurality of binary data streams representing a plurality of messages (step 1206).

In some implementations, the method 1200 includes parsing, using a processor, each of the plurality of received binary data streams using the first structural description to determine the binary header and the binary body (step 1208).

In some implementations, the method may include parsing, using the processor, the parsed binary body using the second structural description to determine the one or more groups of description values forming the metadata construct. The processor uses a portion of the determined description values of the metadata construct to determine the one or more groups of data values of the message construct (step 1210). Each of the one or more data values of the message construct and each of the one or more description value of the metadata construct may be delineated by a binary marker.

FIG. 13 is a flowchart of an example method 1300 of using a WebSocket to transmit Dynamic REST messages in accordance with an embodiment of the invention.

In some implementations, the method 1300 includes storing, at a memory of a device, a binary dynamic REST API model (step 1302). The dynamic REST API model may include a data model that includes a data object, an event object, a service object, a property object, and an attribute object.

In some implementations, the method 1300 includes formatting, via a processor at the device, a request message using the binary dynamic REST API model to produce a self-describing request message (step 1304).

In some implementations, the method 1300 includes transmitting, via a port of the device, the request message over a persistent stateless connection (step 1306). The persistent stateless connection may be over a WebSocket connection using a HTTP or HTTPS port.

FIG. 14 is a flowchart of an example method 1400 of communication with a third party protocol in accordance with an embodiment of the invention. The method 1400 includes providing a first communication protocol and a second communication protocol in a memory of a device. The first communication protocol may include a plurality of control codes and binary messages having a self-describing schema. The self-describing schema may be a data object model. In some implementations, instances of the second communication protocol may be associatively mapped to the instances of the first communication protocol (step 1402). The data model may be structured in a dynamic REST API object model. The associative mapping of the control codes may be based on an HTML framework.

In some implementations, the method 1400 includes receiving, at a port of a computing device, a first instantiation of a message in the second communication protocol (1404).

In some implementations, the method 1400 includes classifying, by a processor of the computing device, the first instantiation of the message as being either a control message or a data message. The method 1400, in turn, includes translating, by a processor of the computing device, the first instantiation of the message to produce a second instantiation of the message (step 1406). If the message is classified as a control message, the processor may map the control message to one or more control codes. If the message is classified as a data message, the processor may map the data message to a binary message having the self-describing schema, as described in relation to FIG. 7.

In some implementations, the method 1400 includes transmitting, at the port of the computing device, the second instantiation of the message (step 1406).

FIG. 15 is a flowchart of an example method 1500 of communication using chunked messages in accordance with an embodiment of the invention.

In some implementations, the method includes receiving, at a port, one or more data streams among a plurality of data streams, including a first data stream and a second data stream (1502).

In some implementations, the method 1500 includes storing, at a first buffer, a received first data stream and a received second data stream (step 1504).

In some implementations, the method 1500 includes storing, at a second buffer, portions of a decoded message (step 1506).

In some implementations, the method 1500 includes decoding, using a processor, the received data stream buffered within the first buffer, to produce a given decoded portion. The processor may store the given decoded portion in the second buffer. The processor may initiate decoding of the received first data stream buffered within the first buffer prior to receiving the complete second data stream.

Example of Computing Devices

FIG. 16 shows an example of a computing device 1600 and a mobile computing device 1650 that can be used to implement the techniques described in this disclosure. The computing device 1600 is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The mobile computing device 1650 is intended to represent various forms of mobile devices, such as personal digital assistants, cellular telephones, smart-phones, and other similar computing devices. The components shown here, their connections and relationships, and their functions, are meant to be examples only, and are not meant to be limiting.

The computing device 1600 may include a processor 1602, a memory 1604, a storage device 1606, a high-speed interface 1608 connecting to the memory 1604 and multiple high-speed expansion ports 1610, and a low-speed interface 1612 connecting to a low-speed expansion port 1614 and the storage device 1606. Each of the processor 1602, the memory 1604, the storage device 1604, the high-speed interface 1608, the high-speed expansion ports 1610, and the low-speed interface 1612, are interconnected using various busses, and may be mounted on a common motherboard or in other manners as appropriate. The processor 1602 can process instructions for execution within the computing device 1600, including instructions stored in the memory 1604 or on the storage device 1606 to display graphical information for a GUI on an external input/output device, such as a display 816 coupled to the high-speed interface 1608. In other implementations, multiple processors and/or multiple buses may be used, as appropriate, along with multiple memories and types of memory. Also, multiple computing devices may be connected, with each of the device providing portions of the necessary operations (e.g., as a server bank, a group of blade servers, or a multi-processor system).

The memory 1604 stores information within the computing device 1600. In some implementations, the memory 1604 is a volatile memory unit or units. In some implementations, the memory 1604 is a non-volatile memory unit or units. The memory 1604 may also be another form of computer-readable medium, such as a magnetic or optical disk.

The storage device 1606 is capable of providing mass storage for the computing device 1600. In some implementations, the storage device 1606 may be or contain a computer-readable medium, such as a floppy disk device, a hard disk device, an optical disk device, or a tape device, a flash memory or other similar solid state memory device, or an array of devices, including devices in a storage area network or other configurations. Instructions can be stored in an information carrier. The instructions, when executed by one or more processing devices (for example, processor 1602), perform one or more methods, such as those described above. The instructions can also be stored by one or more storage devices such as computer- or machine-readable mediums (for example, the memory 1604, the storage device 1606, or memory on the processor 1602).

The high-speed interface 1608 manages bandwidth-intensive operations for the computing device 1600, while the low-speed interface 1612 manages lower bandwidth-intensive operations. Such allocation of functions is an example only. In some implementations, the high-speed interface 1608 is coupled to the memory 1604, the display 1616 (e.g., through a graphics processor or accelerator), and to the high-speed expansion ports 1610, which may accept various expansion cards (not shown). In the implementation, the low-speed interface 1612 is coupled to the storage device 806 and the low-speed expansion port 1614. The low-speed expansion port 1614, which may include various communication ports (e.g., USB, Bluetooth®, Ethernet, wireless Ethernet) may be coupled to one or more input/output devices, such as a keyboard, a pointing device, a scanner, or a networking device such as a switch or router, e.g., through a network adapter.

The computing device 1600 may be implemented in a number of different forms, as shown in the figure. For example, it may be implemented as a standard server 1620, or multiple times in a group of such servers. In addition, it may be implemented in a personal computer such as a laptop computer 1622. It may also be implemented as part of a rack server system 1624. Alternatively, components from the computing device 800 may be combined with other components in a mobile device (not shown), such as a mobile computing device 1650. Each of such devices may contain one or more of the computing device 1600 and the mobile computing device 1650, and an entire system may be made up of multiple computing devices communicating with each other.

The mobile computing device 1650 may include a processor 1652, a memory 1664, an input/output device such as a display 1654, a communication interface 1666, and a transceiver 868, among other components. The mobile computing device 1650 may also be provided with a storage device, such as a micro-drive or other device, to provide additional storage. Each of the processor 1652, the memory 1664, the display 1654, the communication interface 1666, and the transceiver 1668, are interconnected using various buses, and several of the components may be mounted on a common motherboard or in other manners as appropriate.

The processor 1652 can execute instructions within the mobile computing device 1650, including instructions stored in the memory 1664. The processor 1652 may be implemented as a chipset of chips that include separate and multiple analog and digital processors. The processor 1652 may provide, for example, for coordination of the other components of the mobile computing device 1650, such as control of user interfaces, applications run by the mobile computing device 1650, and wireless communication by the mobile computing device 1650.

The processor 1652 may communicate with a user through a control interface 1658 and a display interface 1656 coupled to the display 1654. The display 1654 may be, for example, a TFT (Thin-Film-Transistor Liquid Crystal Display) display or an OLED (Organic Light Emitting Diode) display, or other appropriate display technology. The display interface 1656 may comprise appropriate circuitry for driving the display 1654 to present graphical and other information to a user. The control interface 1658 may receive commands from a user and convert them for submission to the processor 1652. In addition, an external interface 1662 may provide communication with the processor 1652, so as to enable near area communication of the mobile computing device 1650 with other devices. The external interface 1662 may provide, for example, for wired communication in some implementations, or for wireless communication in other implementations, and multiple interfaces may also be used.

The memory 1664 stores information within the mobile computing device 1650. The memory 1664 can be implemented as one or more of a computer-readable medium or media, a volatile memory unit or units, or a non-volatile memory unit or units. An expansion memory 1674 may also be provided and connected to the mobile computing device 1650 through an expansion interface 1672, which may include, for example, a SIMM (Single In Line Memory Module) card interface. The expansion memory 1674 may provide extra storage space for the mobile computing device 1650, or may also store applications or other information for the mobile computing device 1650. Specifically, the expansion memory 1674 may include instructions to carry out or supplement the processes described above, and may include secure information also. Thus, for example, the expansion memory 1674 may be provide as a security module for the mobile computing device 1650, and may be programmed with instructions that permit secure use of the mobile computing device 1650. In addition, secure applications may be provided via the SIMM cards, along with additional information, such as placing identifying information on the SIMM card in a non-hackable manner.

The memory may include, for example, flash memory and/or NVRAM memory (non-volatile random access memory), as discussed below. In some implementations, instructions are stored in an information carrier. that the instructions, when executed by one or more processing devices (for example, processor 1652), perform one or more methods, such as those described above. The instructions can also be stored by one or more storage devices, such as one or more computer- or machine-readable mediums (for example, the memory 1664, the expansion memory 1674, or memory on the processor 1652). In some implementations, the instructions can be received in a propagated signal, for example, over the transceiver 1668 or the external interface 1662.

The mobile computing device 1650 may communicate wirelessly through the communication interface 1666, which may include digital signal processing circuitry where necessary. The communication interface 1666 may provide for communications under various modes or protocols, such as GSM voice calls (Global System for Mobile communications), SMS (Short Message Service), EMS (Enhanced Messaging Service), or MMS messaging (Multimedia Messaging Service), CDMA (code division multiple access), TDMA (time division multiple access), PDC (Personal Digital Cellular), WCDMA (Wideband Code Division Multiple Access), CDMA2000, or GPRS (General Packet Radio Service), among others. Such communication may occur, for example, through the transceiver 1668 using a radio-frequency. In addition, short-range communication may occur, such as using a Bluetooth®, Wi-Fi™, or other such transceiver (not shown). In addition, a GPS (Global Positioning System) receiver module 1670 may provide additional navigation- and location-related wireless data to the mobile computing device 1650, which may be used as appropriate by applications running on the mobile computing device 1650.

The mobile computing device 1650 may also communicate audibly using an audio codec 1660, which may receive spoken information from a user and convert it to usable digital information. The audio codec 1660 may likewise generate audible sound for a user, such as through a speaker, e.g., in a handset of the mobile computing device 1650. Such sound may include sound from voice telephone calls, may include recorded sound (e.g., voice messages, music files, etc.) and may also include sound generated by applications operating on the mobile computing device 1650.

The mobile computing device 1650 may be implemented in a number of different forms, as shown in the figure. For example, it may be implemented as a cellular telephone 1680. It may also be implemented as part of a smart-phone 1682, personal digital assistant, or other similar mobile device.

Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, integrated circuitry, specially designed ASICs (application specific integrated circuits), computer hardware, firmware, software, and/or combinations thereof These various implementations can include implementation in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.

These computer programs (also known as programs, software, software applications or code) include machine instructions for a programmable processor, and can be implemented in a high-level procedural and/or object-oriented programming language, and/or in assembly/machine language. As used herein, the terms machine-readable medium and computer-readable medium refer to any computer program product, apparatus and/or device (e.g., magnetic discs, optical disks, memory, Programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term machine-readable signal refers to any signal used to provide machine instructions and/or data to a programmable processor.

To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the computer. Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a back end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front end component (e.g., a client computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back end, middleware, or front end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network (LAN), a wide area network (WAN), and the Internet.

The computing system can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.

In view of the structure, functions and apparatus of the systems and methods described here, in some implementations, a system and method for communication using Dynamic REST messages are provided. Having described certain implementations of methods and apparatus for supporting communication using Dynamic REST messages, it will now become apparent to one of skill in the art that other implementations incorporating the concepts of the disclosure may be used. Therefore, the disclosure should not be limited to certain implementations, but rather should be limited only by the spirit and scope of the following claims. 

What is claimed is:
 1. A communication device (e.g., a platform server, an edge server, an endpoint device, etc.), comprising: a port configured to receive one or more data streams (e.g., one or more packets) corresponding to a message represented in a binary format, wherein each data stream comprises a binary header and a binary body, the binary body comprising a metadata construct (e.g., a list of field definitions) and a message construct (e.g., a list of row data), collectively forming a self-describing schema for the message in which the metadata construct describes properties of the message construct, a memory storing (i) a first message structure description associated with the binary header and the binary body, and (ii) a second message structure description associated with the metadata construct; and a processor configured to parse a received data stream to produce a received message (e.g., a compressed message represented in a binary and truncated format), wherein the processor parses the received data stream using the first message structure description to determine the binary header and the binary body of the received message, wherein the processor parses the binary body using the second message structure description to determine one or more groups of description values forming the metadata construct, and wherein the processor uses a portion of the determined description values of the metadata construct to determine one or more groups of data values of the message construct.
 2. The communication device of claim 1, wherein each group of the one or more groups of description values is associated with a given data value of each group of the one or more groups of data values of the message construct.
 3. The communication device of claim 1 or 2, wherein both the message construct and the metadata construct of the received message are represented in a truncated format such that notation objects (e.g., character strings of attributes in a JSON attribute-value pair and/or names in an XML name-value pair) associated with each data value of the message construct and each description value of the metadata construct are not present in the received message, wherein the notation objects are present in an uncompressed version of the received message.
 4. The communication device of claim 3, wherein the uncompressed version of the received message conforms to an open standard format selected from the group consisting of JavaScript Object Notation (JSON) and Extensible Markup Language (XML).
 5. The communication device of any one of claims 1-4, wherein the binary header comprises a field associated with a HTTP REST message, wherein the HTTP REST message comprises at least one of a binary symbol representing at least one of a HTTP request method (e.g., GET, PUT, DELETE, POST) and a HTTP status code definition.
 6. The communication device of any one of claims 1-5, wherein the data stream comprises a supplemental binary header, wherein the supplemental binary header comprises one or more fields associated with an identity of a targeted recipient of the received data stream.
 7. The communication device of any one of claims 1-6, wherein each group of the one or more groups of description values forming the metadata construct comprises a binary representation of a type definition for each type of data value of the message construct, wherein the type definition comprises a member selected from the group consisting of a string, a number, a Boolean, a datetime object, a timespan object, an Infotable object, a location object, an XML object, a JSON object, a query object, an image, a hyperlink, an imagelink object, a password object, an html object, a text, a tag object, a schedule object, a variant object, a global unique identifier (GUID) object, a binary large object (BLOB), and an integer.
 8. The communication device of any one of claims 1-7, wherein each group of the one or more groups of data values of the message construct and each group of the one or more groups of description values of the metadata construct comprises one or more binary markers, wherein the one or more binary markers indicate at least one of a beginning and an end of each of the respective one or more groups.
 9. The communication device of any one of claims 1-8, wherein each of the one or more groups of description values forming the metadata construct comprises: a data-value name descriptor, a data-value description-descriptor, and a data value type-descriptor, wherein the descriptors are defined by a model-based schema.
 10. The communication device of any one of claims 1-9, wherein the metadata construct precedes the message construct in the binary body.
 11. The communication device of any one of claims 1-10, wherein portions of the metadata construct and the message construct corresponding to a set of string characters are represented, in the received message, as a binary symbol based on a universal standard code native to the communication device (e.g., Unicode-8).
 12. The communication device of any one of claims 1-11, wherein the port is configured to receive the one or more data streams via a WebSocket connection.
 13. A computer-implemented method for communicating a compressed and binarized dynamic REST API message formatted according to a model-based schema and self-describing schema, the method comprising: storing, at a memory of a computing device, a first message structure description and a second message structure description for a data stream, wherein the first message structure description defines a shape of a binary header and a binary body for a message represented in a binary format, wherein the binary body comprises a metadata construct (e.g., a list of field definitions) and a message construct (e.g., a list of row data), collectively forming a self-describing schema for the message in which the metadata construct describes properties of the message construct, wherein the second message structure description defines a structure for the metadata construct; receiving, at a port of the computing device, one or more data streams corresponding to a compressed and binarized dynamic REST API message formatted according to a model-based schema and self-describing schema; and parsing, by a processor of the computing device, the received data stream to produce a received message, wherein the parsing of the received data stream comprises: parsing the received data stream using the first message structure description to determine the binary header and the binary body of the received message, parsing the binary body using the second message structure description to determine one or more groups of description values forming the metadata construct of the received message, and determining one or more groups of data values of the message construct using a portion of the determined description values of the metadata construct.
 14. The method of claim 13, wherein each group of the one or more groups of description values is associated with a given data value of each group of the one or more groups of data values of the message construct.
 15. The method of claim 13 or 14, wherein both the message construct and the metadata construct of the received message are represented in a truncated format such that notation objects (e.g., character strings of attributes in a JSON attribute-value pair and/or names in an XML name-value pair) associated with each data value of the message construct and each description value of the metadata construct are not present in the received message, wherein the notation objects are present in the uncompressed version of the received message.
 16. The method of claim 15, wherein the uncompressed version of the received message conforms to an open standard format selected from the group consisting of JavaScript Object Notation (JSON) and Extensible Markup Language (XML).
 17. The method of any one of claims 13-16, wherein the binary header comprises a field associated with a HTTP REST message, wherein the HTTP REST message comprises a binary symbol representing at least one of a HTTP request method (e.g., GET, PUT, DELETE, POST) and a HTTP status code definition.
 18. The method of any one of claims 13-17, wherein the data stream comprises a supplemental binary header, wherein the supplemental binary header comprises one or more fields associated with an identity of a targeted recipient of the received data stream.
 19. The method of any one of claims 13-18, wherein each group of the one or more groups of data values of the message construct and each group of the one or more groups of description values of the metadata construct comprises one or more binary markers, wherein the one or more binary markers indicate at least one of a beginning and an end of each of the respective one or more groups.
 20. The method of any one of claims 13-19, wherein each of the one or more groups of description values forming the metadata construct comprises: a data-value name descriptor, a data-value description-descriptor, and a data value type-descriptor, wherein the descriptors are defined by the model-based schema.
 21. The method of any one of claims 13-20, wherein the metadata construct precedes the message construct in the binary body.
 22. The method of any one of claims 13-21, wherein portions of the metadata construct and the message construct corresponding to a set of string characters are represented, in the received message, as a binary symbol based on a universal standard code native to the computing device (e.g., Unicode-8).
 23. The method of any one of claims 13-22, wherein the one or more data streams are received via a WebSocket connection.
 24. A non-transitory computer readable medium having instruction stored thereon, wherein the instructions, when executed by a processor of a computing device, cause the processor to: store, at the memory of the computing device, a first message structure description and a second message structure description for a data stream, wherein the first message structure description defines a shape of a binary header and a binary body for message represented in a binary format, wherein the binary body comprises a metadata construct (e.g., a list of field definitions) and a message construct (e.g., a list of row data), collectively forming a self-describing schema for the message in which the metadata construct describes properties of the message construct, wherein the second message structure description defines a structure of the metadata construct; receive, at a port of the computing device, one or more data streams corresponding to a compressed and binarized dynamic REST API message formatted according to a model-based schema and self-describing schema; parse the received data stream to produce a received message, wherein the parsing of the received data stream comprises: parsing the received data stream using the first message structure description to determine the binary header and the binary body of the received message, parsing the binary body using the second message structure description to determine the one or more groups of description values forming the metadata construct of the received message, and determining the one or more groups of data values of the message construct using a portion of the determined description values of the metadata construct.
 25. The computer readable medium of claim 24, wherein each group of the one or more groups of description values is associated with a given data value of each group of the one or more groups of data values of the message construct.
 26. The computer readable medium of claim 24 or 25, wherein both the message construct and the metadata construct of the received message are represented in a truncated format such that notation objects (e.g., character strings of attributes in a JSON attribute-value pair and/or names in an XML name-value pair) associated with each data value of the message construct and each description value of the metadata construct are not present in the received message, wherein the notation objects are present in an uncompressed version of the received message.
 27. The computer readable medium of claim 26, wherein the uncompressed version of the self-describing message conforms to an open standard format selected from the group consisting of JavaScript Object Notation (JSON) and Extensible Markup Language (XML).
 28. The computer readable medium of any one of claims 24-27, wherein the binary header comprises a field associated with a HTTP REST message, wherein the HTTP REST message comprises a binary symbol representing at least one of a HTTP-based request method (e.g., GET, PUT, DELETE, POST) and a HTTP status code definition.
 29. The computer readable medium of any one of claims 24-28, wherein the data stream comprises a supplemental binary header, wherein the supplemental binary header comprises one or more fields associated with an identity of a targeted recipient of the compressed message.
 30. The computer readable medium of any one of claims 24-29, wherein each group of the one or more groups of data values of the message construct and each group of the one or more groups of description values of the metadata construct comprises one or more binary markers, wherein the one or more binary markers indicate at least one of a beginning and an end of each of the respective one or more groups.
 31. The computer readable medium of any one of claims 24-30, wherein each of the one or more groups of description values forming the metadata construct comprises: a data-value name descriptor, a data-value description-descriptor, and a data value type-descriptor, wherein the descriptors are defined the model-based schema.
 32. The computer readable medium of any one of claims 24-31, wherein the metadata construct precedes the message construct in the binary body.
 33. The computer readable medium of any one of claims 24-32, wherein portions of the metadata construct and the message construct corresponding to a set of string characters are represented, in the received message, as a binary symbol based on a universal standard code native to the computing device (e.g., Unicode-8).
 34. The computer readable medium of any one of claims 24-33, wherein the instructions, when executed by the processor, cause the processor to: receive, the one or more data streams, via a WebSocket connection.
 35. A communication device, comprising: a processor; a port configured to transmit data streams via a persistent stateless connection (e.g., a WebSocket connection) to a computing device; and a memory having instructions and a dynamic REST API model stored thereon, wherein the instructions, when executed by the processor, cause the processor to: establish one or more persistent stateless connections, via the port, with a second communication device; produce one or more data streams corresponding to a self-describing request message using the stored dynamic REST API model; and cause the data stream to be transmitted by the port to the second communication device.
 36. The communication device of claim 35, wherein the persistent stateless connection is a WebSocket connection.
 37. The communication device of claim 35 or 36, wherein the port is a member selected from the group consisting of a Hypertext Transfer Protocol (HTTP) port, a secure Hypertext Transfer Protocol (HTTPS) port, a WebSocket (WS) port, and a WebSocket secure (WSS) port.
 38. The communication device of any one of claims 35-37, wherein the port has a port value of 80 or
 443. 39. The communication device of any one of claims 35-38, wherein the dynamic REST API model comprises a description of a request message formatted according to a model-based schema and self-describing schema.
 40. The communication device of claim 39, wherein the description of the request message comprises a metadata construct (e.g., a list of field definitions) and a message construct (e.g., a list of row data), collectively forming the self-describing schema for the message in which the metadata construct describes properties of the message construct.
 41. The communication device of claim 40, wherein the message construct comprises one or more groups of data values (e.g., row data) corresponding to data objects of the message, and wherein the metadata construct comprises one or more groups of description values (e.g., field definitions) corresponding to property objects of the message, wherein each group of the one or more groups of description values is associated with a given data value of each group of the one or more groups of data values of the message construct.
 42. The communication device of claim 41, wherein both the message construct and the metadata construct of the message are represented in a truncated format such that notation objects (e.g., attributes in a JSON attribute-value pair and/or names in an XML name-value pair) associated with each data value of the message construct and each description value of the metadata construct are not present in the message, wherein the notation objects are present in the uncompressed version of the message.
 43. The communication device of any one of claims 35-42, wherein the self-describing request message is represented in a format selected from the group consisting of a JavaScript Object Notation (JSON) object and an Extensible Markup Language (XML) object.
 44. The communication device of any one of claims 35-43, wherein the self-describing request message is represented in a binary format.
 45. A computer-implemented method comprising: storing, at a memory of a computing device, a dynamic REST API model; producing, by a processor of the computing device, one or more data streams corresponding to a self-describing request message using the stored dynamic REST API model; establishing, via a port of the computing device, a persistent stateless connection (e.g., a WebSocket connection) with a second computing device; and transmitting, via the port, the one or more data streams to the second computing device.
 46. The computer-implemented method of claim 45, wherein the persistent stateless connection is a WebSocket connection.
 47. The computer-implemented method of claim 45 or 46, wherein the port is a member selected from the group consisting of a Hypertext Transfer Protocol (HTTP) port, a secure Hypertext Transfer Protocol (HTTPS) port, a WebSocket (WS) port, and a WebSocket secure (WSS) port.
 48. The computer-implemented method of any one of claims 45-47, wherein the port has a port value of 80 or
 443. 49. The computer-implemented method of any one of claims 45-48, wherein the self-describing request message is represented in a binary format.
 50. The computer-implemented method of any one of claims 45-49, wherein the dynamic REST API model comprises a description of a request message formatted according to a model-based schema and self-describing schema.
 51. The computer-implemented method of claim 50, wherein the description of the request message comprises a metadata construct (e.g., a list of field definitions) and a message construct (e.g., a list of row data), collectively forming the self-describing schema for the message in which the metadata construct describes properties of the message construct.
 52. The computer-implemented method of claim 51, wherein the message construct comprises one or more groups of data values (e.g., row data) corresponding to data objects of the message, and wherein the metadata construct comprises one or more groups of description values (e.g., field definitions) corresponding to property objects of the message, wherein each group of the one or more groups of description values is associated with a given data value of each group of the one or more groups of data values of the message construct.
 53. The computer-implemented method of claim 52, wherein both the message construct and the metadata construct of the message are represented in a truncated format such that notation objects (e.g., attributes in a JSON attribute-value pair and/or names in an XML name-value pair) associated with each data value of the message construct and each description value of the metadata construct are not present in the message, wherein the notation objects are present in the uncompressed version of the message.
 54. The computer-implemented method of any one of claims 45-53, wherein the self-describing request message is represented in a format selected from the group consisting of a JavaScript Object Notation (JSON) object and an Extensible Markup Language (XML) object.
 55. A non-transitory computer readable medium having instructions stored thereon, wherein the instructions, when executed by a processor at a computing device, cause the processor to: store, at a memory of the computing device, a dynamic REST API model; produce one or more data stream corresponding to a self-describing request message using the dynamic REST API model; establish, via a port of the computing device, a persistent stateless connection (e.g., a WebSocket connection) with a second computing device; and transmit, via the port, the one or more data streams to the second computing device.
 56. The computer readable medium of claim 55, wherein the persistent stateless connection is a WebSocket connection.
 57. The computer readable medium of claim 55 or 56, wherein the port is a member selected from the group consisting of a Hypertext Transfer Protocol (HTTP) port, a secure Hypertext Transfer Protocol (HTTPS) port, a WebSocket (WS) port, and a WebSocket secure (WSS) port.
 58. The computer readable medium of any one of claims 55-57, wherein the port has a port value of 80 or
 443. 59. The computer readable medium of any one of claims 55-58, wherein the self-describing request message is represented in a binary format.
 60. The computer readable medium of any one of claims 55-59, wherein the dynamic REST API model comprises a description of a request message formatted according to a model-based schema and self-describing schema.
 61. The computer readable medium of claim 60, wherein the description of the request message comprises a metadata construct (e.g., a list of field definitions) and a message construct (e.g., a list of row data), collectively forming the self-describing schema for the message in which the metadata construct describes properties of the message construct.
 62. The computer readable medium of claim 61, wherein the message construct comprises one or more groups of data values (e.g., row data) corresponding to data objects of the message, and wherein the metadata construct comprises one or more groups of description values (e.g., field definitions) corresponding to property objects of the message, wherein each group of the one or more groups of description values is associated with a given data value of each group of the one or more groups of data values of the message construct.
 63. The computer readable medium of claim 62, wherein both the message construct and the metadata construct of the message are represented in a truncated format such that notation objects (e.g., attributes in a JSON attribute-value pair and/or names in an XML name-value pair) associated with each data value of the message construct and each description value of the metadata construct are not present in the message, wherein the notation objects are present in the uncompressed version of the message.
 64. The computer readable medium of any one of claims 55-63, wherein the self-describing request message is represented in a format selected from the group consisting of a JavaScript Object Notation (JSON) object and an Extensible Markup Language (XML) object.
 65. A computer-implemented method comprising: providing a first communication protocol and a second communication protocol in a memory of a first computing device (e.g., an intermediate server), wherein the first communication protocol comprises (i) a plurality of control codes (e.g., corresponding to one or more HTTP request methods and one or more HTTP status code definitions) and (ii) a plurality of message structures described by a self-describing schema and a model-based schema (e.g., corresponding to a dynamic REST API model), wherein instances of the second communication protocol are associatively mapped to instances of the first communication protocol in the memory of the device; receiving, at a port of the first computing device, from a second computing device (e.g., a legacy computing device), one or more first data streams corresponding to a message formatted according to the second communication protocol; determining, by a processor of the first computing device, if the received message corresponds to either a control message or a data message; generating, by the processor, one or more second data streams corresponding to a message formatted according to the first communication protocol using the received message formatted according to the second communication protocol, wherein, responsive to the received message being determined to correspond to a control message, mapping, by the processor, the received message to one or more control codes of the plurality of control codes of the first communication protocol, and wherein, responsive to the received message being determined to correspond to a data message, generating, by the processor, a corresponding dynamic REST request message formatted according to the first communication protocol, wherein the generated message comprises a metadata construct (e.g., a list of field definitions) and a message construct (e.g., a list of row data), collectively forming the self-describing schema for the generated message in which the metadata construct describes properties of the message construct; and transmitting, via the port, the one or more second data streams to a third computing device (e.g., a platform server).
 66. The computer-implemented method of claim 65, wherein the one or more first data streams are received via a wireless connection.
 67. The computer-implemented method of claim 66, wherein the wireless connection comprises a network selected from the group consisting of Zigbee, Bluetooth, WiMax, Wi-Fi, GSM, PCS, and D-AMPS, IEC, 6LoWPAN, Ant, DASH7, EnOcean, INSTEON, NeuRF ON, Senceive, WirelessHART, Contiki, TinyOS, GPRS, TCP/IP, CoAP, MQTT, TR-50, OMA LW M2M, and ETSI M2M.
 68. The computer-implemented method of any one of claims 65-67, wherein the first computing device transmits the one or more second data streams to the third computing device over a WebSocket connection.
 69. The computer-implemented method of any one of claims 65-68, wherein the associative mapping between the first communication protocol and the second communication protocol is stored in persistent memory.
 70. The computer-implemented method of any one of claims 65-69, wherein a portion of the plurality of the control codes corresponds to one or more HTTP request methods and one or more HTTP status code definitions.
 71. The computer-implemented method of claim 70, wherein the one or more HTTP request methods comprises a member selected from the group consisting of a GET request, a PUT request, a POST request, and a DELETE request.
 72. The computer-implemented method of any one of claims 65-71, wherein each of the one or more HTTP request methods is represented as a binary symbol.
 73. The computer-implemented method of any one of claims 65-72, comprising: adding, by the processor, a binary header to each of the one or more second data streams, wherein the binary header comprises a targeted recipient of the received data stream.
 74. A non-transitory computer readable medium having instructions stored thereon, wherein the instructions comprise definitions for a first communication protocol, definitions for a second communication protocol, and an associative mapping therebetween, wherein the first communication protocol comprises (i) a plurality of control codes (e.g., corresponding to one or more HTTP request methods and one or more HTTP status code definitions) and (ii) a plurality of message structure described by a self-describing schema and a model-based schema (e.g., corresponding to a dynamic REST API model); and wherein the instructions, when executed by a processor of a computing device (e.g., an intermediate server), cause the processor to: receive, at a port of the computing device, from a second computing device (e.g., a legacy computing device), one or more first data streams corresponding to a message formatted according to the second communication protocol; determine if the received message corresponds to either a control message or a data message; generate one or more second data streams corresponding to a message formatted according to the first communication protocol, wherein, responsive to the received message being determined to correspond a control message, mapping the received message to one or more control codes of the plurality of control codes of the first communication protocol, and wherein, responsive to the received message being determined to correspond to a data message, generating a corresponding dynamic REST request message formatted according to the first communication protocol, wherein the generated message comprises a metadata construct (e.g., a list of field definitions) and a message construct (e.g., a list of row data), collectively forming the self-describing schema for the generated message in which the metadata construct describes properties of the message construct; and transmit, via the port, the one or more second data streams to a third computing device (e.g., a platform server).
 75. The computer readable medium of claim 74, wherein the one or more first data streams are received via a wireless connection.
 76. The computer readable medium of claim 75, wherein the wireless connection comprises a network selected from the group consisting of Zigbee, Bluetooth, WiMax, Wi-Fi, GSM, PCS, and D-AMPS, IEC, 6LoWPAN, Ant, DASH7, EnOcean, INSTEON, NeuRF ON, Senceive, WirelessHART, Contiki, TinyOS, GPRS, TCP/IP, CoAP, MQTT, TR-50, OMA LW M2M, and ETSI M2M.
 77. The computer readable medium of any one of claims 74-76, wherein the computing device transmits the one or more second data streams to the third computing device over a WebSocket connection.
 78. The computer readable medium of any one of claims 74-77, wherein the associative mapping between the first communication protocol and the second communication protocol is stored in persistent memory.
 79. The computer readable medium of any one of claims 74-78, wherein a portion of the plurality of the control codes corresponds to one or more HTTP request methods and one or more HTTP status code definitions.
 80. The computer readable medium of claim 79, wherein the one or more HTTP request methods comprise a member selected from the group consisting of a GET request, a PUT request, a POST request, and a DELETE request.
 81. The computer readable medium of any one of claims 74-80, wherein each of the one or more HTTP request methods is represented as a binary symbol.
 82. The computer readable medium of any one of claims 74-81, wherein the instructions, when executed by the processor, cause the processor to: add a binary header to each of the one or more second data streams, wherein the binary header comprises a targeted recipient of the received data stream.
 83. A system comprising: a processor; a port; and a memory having instruction stored thereon, wherein the instructions comprise definitions for a first communication protocol, definitions for a second communication protocol, and an associative mapping therebetween, wherein the first communication protocol comprises (i) a plurality of control codes (e.g., corresponding to one or more HTTP request methods and one or more HTTP status code definitions) and (ii) a plurality of message structure described by a self-describing schema, wherein the instructions, when executed by the processor of a computing device (e.g., an intermediate server), cause the processor to: receive, via the port, from a second computing device (e.g., a legacy computing device), one or more first data streams corresponding to message formatted according to the second communication protocol; determine if the received message corresponds to either a control message or a data message; generate one or more second data streams corresponding to a message formatted according to the first communication protocol, wherein, responsive to the received message being determined to correspond a control message, mapping the received message to one or more control codes of the plurality of control codes of the first communication protocol, and wherein, responsive to the received message being determined to correspond to a data message, generating a corresponding dynamic REST request message formatted according to the first communication protocol, wherein the generated message comprises a metadata construct (e.g., a list of field definitions) and a message construct (e.g., a list of row data), collectively forming the self-describing schema for the generated message in which the metadata construct describes properties of the message construct; and transmit, via the port, the one or more second data streams to a third computing device (e.g., a platform server).
 84. The system of claim 83, wherein the port is configured to establish a wireless connection.
 85. The system of claim 84, wherein the wireless connection comprises a network selected from the group consisting of Zigbee, Bluetooth, WiMax, Wi-Fi, GSM, PCS, and D-AMPS, IEC, 6LoWPAN, Ant, DASH7, EnOcean, INSTEON, NeuRF ON, Senceive, WirelessHART, Contiki, TinyOS, GPRS, TCP/IP, CoAP, MQTT, TR-50, OMA LW M2M, and ETSI M2M.
 86. The system of any one of claims 83-85, wherein the port is configured to establish a WebSocket connection.
 87. The system of any one of claims 83-86, wherein the associative mapping between the first communication protocol and the second communication protocol is stored in persistent memory.
 88. The system of any one of claims 83-87, wherein a portion of the plurality of the control codes corresponds to one or more HTTP request methods and one or more HTTP status code definitions.
 89. The system of claim 88, wherein the one or more HTTP request methods comprise a member selected from the group consisting of a GET request, a PUT request, a POST request, and a DELETE request.
 90. The system of any one of claims 83-89, wherein each of the one or more HTTP request methods is represented as a binary symbol.
 91. The system of any one of claims 83-90, wherein the instructions, when executed by the processor, cause the processor to: add a binary header to each of the one or more second data streams, wherein the binary header comprises a targeted recipient of the received data stream.
 92. A communication engine comprising: a processor; a communication port configured to receive a plurality of data streams from a plurality of computing devices, wherein each data stream of the plurality of data streams comprises a chunk identification number, a chunk size identifier, and a total chunk identifier (e.g., a total number of chunks); a memory having instructions stored thereon, wherein the instructions, when executed by the processor, cause the processor to: parse a first data stream of the plurality of data streams to determine a chunk identification number, a chunk size identifier, and a total chunk identifier associated with a first message associated with a first monitored device; allocate a first buffer in the memory, wherein the first buffer is associated with the first message of the first monitored device and has a size defined, in part, by the chunk size identifier and the total chunk identifier parsed from the first data stream; for each received data stream associated with the first message associated with the first monitored device, store in the first buffer a message portion of the received data stream; and decode the message portions of the first buffer to generate a complete first message of the first monitored device.
 93. The communication engine of claim 92, wherein the instructions, when executed by the processor, cause the processor to: parse a second data stream of the plurality of data streams to determine a chunk identification number, a chunk size identifier, and a total chunk identifier associated with a second message associated with a first monitored device; allocate a second buffer in the memory, wherein the second buffer is associated with the second message of the first monitored device and has a size defined, in part, by the chunk size identifier and the total chunk identifier parsed from the second data stream; for each received data stream associated with the second message associated with the first monitored device, store in the second buffer a message portion of the received data stream; and decode the message portions of the second buffer to generate a complete second message of the first monitored device.
 94. The communication engine of claim 92 or 93, wherein the instructions, when executed by the processor, cause the processor to: parse a third data stream of the plurality of data streams to determine a chunk identification number, a chunk size identifier, and a total chunk identifier associated with a third message associated with a second monitored device; allocate a third buffer in the memory, wherein the third buffer is associated with the third message of the second monitored device and has a size defined, in part, by the chunk size identifier and the total chunk identifier parsed from the third data stream; for each received data stream associated with the third message associated with the second monitored device, store in the third buffer a message portion of the received data stream; and decode the message portions of the third buffer to generate a complete third message of the second monitored device.
 95. The communication engine of any one of claims 92-94, wherein each message portion of a received data stream is stored within a respective buffer at a location corresponding to the chunk identification number parsed from the received data stream.
 96. The communication engine of any one of claims 92-94, wherein each message portion of a received data stream is stored within a respective buffer in a sequential manner.
 97. The communication engine of any one of claims 92-96, wherein the chunk size identifier corresponds to a size of a message portion of a received data stream.
 98. The communication engine of any one of claims 92-96, wherein the instructions, when executed by the processor, cause the processor to: allocate, for each new message, a respective buffer in the memory based on a chunk size identifier and a total chunk identifier parsed from a data stream corresponding to the new message.
 99. The communication engine of any one of claims 92-98, wherein the communication port is configured to receive the plurality of data streams via a plurality of persistent stateless connections (e.g., a plurality of WebSocket connections).
 100. The communication engine of any one of claims 92-93, wherein the message portions of each respective buffer are decoded upon the buffer being full.
 101. The communication engine of any one of claims 92-93, wherein the instructions, when executed by the processor, cause the processor to: create a list of stored message portions (e.g., a binary string or an array) for each respective buffer based on a total chunk identifier used in the allocation of the respective buffer; update the list of stored message portion for each message portion stored to the respective buffer based on the chunk identification number associated with the stored message portion; and decode the stored message portions of the respective buffer when the list is complete.
 102. The communication device of any one of claims 92-101, wherein the chunk size identifier comprises at least 16 bits.
 103. The communication device of any one of claims 92-102, wherein the chunk size identifier comprises at least 32 bits.
 104. The communication device of any one of claims 92-103, wherein the total chunk identifier comprises at least 16 bits.
 105. The communication device of any one of claims 92-104, wherein the total chunk identifier comprises at least 32 bits.
 106. The communication device of any one of claims 92-105, wherein the chunk identification number, the chunk size identifier, and the total chunk identifier, collectively form a header portion of a given data stream.
 107. The communication device of any one of claims 92-106, wherein each data stream comprises a header message, the header message comprising a multipart header field indicating presence of a multipart header portion, wherein the multipart header portion comprises the chunk identification number, the chunk size identifier, and the total chunk identifier.
 108. The communication device of claim 107, wherein the multipart header portion comprises a name identifier associated with a computing device having originated data corresponding to a message portion of a received data stream.
 109. The communication engine of any one of claims 92-108, wherein the instructions, when executed by the processor, cause the processor to: upon decoding of the first message with the first buffer, cause transmission of a data stream corresponding to a success message to a computing device having transmitted the data streams associated with the first message associated with the first monitored device.
 110. A computer-implemented method comprising: receiving, at a port of a computing device, a plurality of data streams from a plurality of computing devices, wherein each data stream of the plurality of data streams comprises a chunk identification number, a chunk size identifier, and a total chunk identifier (e.g., a total number of chunks); parsing, by a processor of the computing device, a first data stream of the plurality of data streams to determine a chunk identification number, a chunk size identifier, and a total chunk identifier associated with a first message associated with a first monitored device; allocating, by the processor, in a memory of the computing device, a first buffer, wherein the first buffer is associated with the first message of the first monitored device and has a size defined, in part, by the chunk size identifier and the total chunk identifier parsed from the first data stream; for each received data stream associated with the first message associated with the first monitored device, storing, by the processor, a message portion of the received data stream in the first buffer; and decoding the message portions of the first buffer to generate a complete first message of the first monitored device.
 111. The method of claim 110, comprising: parsing, by the processor, a second data stream of the plurality of data streams to determine a chunk identification number, a chunk size identifier, and a total chunk identifier associated with a second message associated with a first monitored device; allocating, by the processor, a second buffer in the memory, wherein the second buffer is associated with the second message of the first monitored device and has a size defined, in part, by the chunk size identifier and the total chunk identifier parsed from the second data stream; for each received data stream associated with the second message associated with the first monitored device, storing, by the processor, in the second buffer, a message portion of the received data stream; and decoding, by the processor, the message portions of the second buffer to generate a complete second message of the first monitored device.
 112. The method of claim 110 or 111, comprising: parsing, by the processor, a third data stream of the plurality of data streams to determine a chunk identification number, a chunk size identifier, and a total chunk identifier associated with a third message associated with a second monitored device; allocating, by the processor, a third buffer in the memory, wherein the third buffer is associated with the third message of the second monitored device and has a size defined, in part, by the chunk size identifier and the total chunk identifier parsed from the third data stream; for each received data stream associated with the third message associated with the second monitored device, storing, by the processor, in the third buffer, a message portion of the received data stream; and decoding, by the processor, the message portions of the third buffer to generate a complete third message of the second monitored device.
 113. The method of any one of claims 110-112, wherein each message portion of a received data stream is stored within a respective buffer at a location corresponding to the chunk identification number parsed from the received data stream.
 114. The method of any one of claims 110-112, wherein each message portion of a received data stream is stored within a respective buffer in a sequential manner.
 115. The method of any one of claims 110-114, wherein the chunk size identifier corresponds to a size of a message portion of a received data stream.
 116. The method of any one of claims 110-115, comprising: allocating, by the processor, for each new message, a respective buffer in the memory based on a chunk size identifier and a total chunk identifier parsed from a data stream corresponding to the new message.
 117. The method of any one of claims 110-116, wherein the plurality of data streams is received via a plurality of persistent stateless connections (e.g., a plurality of WebSocket connections).
 118. The method of any one of claims 110-117, wherein the message portions of each respective buffer are decoded upon the buffer being full.
 119. The method of any one of claims 110-117, comprising: creating, by the processor, a list of stored message portions (e.g., a binary string or an array) for each respective buffer based on a total chunk identifier used in the allocation of the respective buffer; updating, by the processor, the list of stored message portion for each message portion stored to the respective buffer based on the chunk identification number associated with the stored message portion; and decoding, by the processor, the stored message portions of the respective buffer when the list is complete.
 120. The method of any one of claims 110-119, wherein the chunk size identifier comprises at least 16 bits.
 121. The method of any one of claims 110-120, wherein the chunk size identifier comprises at least 32 bits.
 122. The method of any one of claims 110-121, wherein the total chunk identifier comprises at least 16 bits.
 123. The method of any one of claims 110-122, wherein the total chunk identifier comprises at least 32 bits.
 124. The method of any one of claims 110-123, wherein the chunk identification number, the chunk size identifier, and the total chunk identifier, collectively form a header portion of a given data stream.
 125. The method of any one of claims 110-124, wherein each data stream comprises a header message, the header message comprising a multipart header field indicating presence of a multipart header portion, wherein the multipart header portion comprises the chunk identification number, the chunk size identifier, and the total chunk identifier.
 126. The method of claim 125, wherein the multipart header portion comprises a name identifier associated with a computing device having originated data corresponding to a message portion of a received data stream.
 127. The method of any one of claims 110-126, comprising: upon decoding of the first message with the first buffer, causing, by the processor, transmission of a data stream corresponding to a success message to a computing device having transmitted the data streams associated with the first message associated with the first monitored device.
 128. A non-transitory computer readable medium having instruction stored thereon, wherein the instructions, when executed by a processor, cause the processor to: receive, at a port of a computing device, a plurality of data streams from a plurality of computing devices, wherein each data stream of the plurality of data streams comprises a chunk identification number, a chunk size identifier, and a total chunk identifier (e.g., a total number of chunks); parse a first data stream of the plurality of data streams to determine a chunk identification number, a chunk size identifier, and a total chunk identifier associated with a first message associated with a first monitored device; allocate a first buffer in the memory, wherein the first buffer is associated with the first message of the first monitored device and has a size defined, in part, by the chunk size identifier and the total chunk identifier parsed from the first data stream; for each received data stream associated with the first message associated with the first monitored device, store in the first buffer a message portion of the received data stream; and decode the message portions of the first buffer to generate a complete first message of the first monitored device.
 129. The computer readable medium of claim 128, wherein the instructions, when executed by the processor, cause the processor to: parse a second data stream of the plurality of data streams to determine a chunk identification number, a chunk size identifier, and a total chunk identifier associated with a second message associated with a first monitored device; allocate a second buffer in the memory, wherein the second buffer is associated with the second message of the first monitored device and has a size defined, in part, by the chunk size identifier and the total chunk identifier parsed from the second data stream; for each received data stream associated with the second message associated with the first monitored device, store in the second buffer a message portion of the received data stream; and decode the message portions of the second buffer to generate a complete second message of the first monitored device.
 130. The computer readable medium of claim 128 or 129, wherein the instructions, when executed by the processor, cause the processor to: parse a third data stream of the plurality of data streams to determine a chunk identification number, a chunk size identifier, and a total chunk identifier associated with a third message associated with a second monitored device; allocate a third buffer in the memory, wherein the third buffer is associated with the third message of the second monitored device and has a size defined, in part, by the chunk size identifier and the total chunk identifier parsed from the third data stream; for each received data stream associated with the third message associated with the second monitored device, store in the third buffer a message portion of the received data stream; and decode the message portions of the third buffer to generate a complete third message of the second monitored device.
 131. The computer readable medium of any one of claims 128-130, wherein each message portion of a received data stream is stored within a respective buffer at a location corresponding to the chunk identification number parsed from the received data stream.
 132. The computer readable medium of any one of claims 128-130, wherein each message portion of a received data stream is stored within a respective buffer in a sequential manner.
 133. The computer readable medium of any one of claims 128-132, wherein the chunk size identifier corresponds to a size of a message portion of a received data stream.
 134. The computer readable medium of any one of claims 128-133, wherein the instructions, when executed by the processor, cause the processor to: allocate, for each new message, a respective buffer in the memory based on a chunk size identifier and a total chunk identifier parsed from a data stream corresponding to the new message.
 135. The computer readable medium of any one of claims 128-134, wherein the communication port is configured to receive the plurality of data streams via a plurality of persistent stateless connections (e.g., a plurality of WebSocket connections).
 136. The computer readable medium of any one of claims 128-135, wherein the message portions of each respective buffer are decoded upon the buffer being full.
 137. The computer readable medium of any one of claims 128-136, wherein the instructions, when executed by the processor, cause the processor to: create a list of stored message portions (e.g., a binary string or an array) for each respective buffer based on a total chunk identifier used in the allocation of the respective buffer; update the list of stored message portion for each message portion stored to the respective buffer based on the chunk identification number associated with the stored message portion; and decode the stored message portions of the respective buffer when the list is complete.
 138. The computer readable medium of any one of claims 128-137, wherein the chunk size identifier comprises at least 16 bits.
 139. The computer readable medium of any one of claims 128-138, wherein the chunk size identifier comprises at least 32 bits.
 140. The computer readable medium of any one of claims 128-139, wherein the total chunk identifier comprises at least 16 bits.
 141. The computer readable medium of any one of claims 128-140, wherein the total chunk identifier comprises at least 32 bits.
 142. The computer readable medium of any one of claims 128-141, wherein the chunk identification number, the chunk size identifier, and the total chunk identifier, collectively form a header portion of a given data stream.
 143. The computer readable medium of any one of claims 128-142, wherein each data stream comprises a header message, the header message comprising a multipart header field indicating presence of a multipart header portion, wherein the multipart header portion comprises the chunk identification number, the chunk size identifier, and the total chunk identifier.
 144. The computer readable medium of claim 143, wherein the multipart header portion comprises a name identifier associated with a computing device having originated data corresponding to a message portion of a received data stream.
 145. The computer readable medium of any one of claims 128-144, wherein the instructions, when executed by the processor, cause the processor to: upon decoding of the first message with the first buffer, cause transmission of a data stream corresponding to a success message to a computing device having transmitted the data streams associated with the first message associated with the first monitored device. 